Overview

Dataset statistics

Number of variables30
Number of observations2872
Missing cells6354
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory673.2 KiB
Average record size in memory240.0 B

Variable types

Numeric9
Categorical21

Alerts

url has a high cardinality: 2872 distinct values High cardinality
name has a high cardinality: 1959 distinct values High cardinality
airtime has a high cardinality: 53 distinct values High cardinality
airstamp has a high cardinality: 504 distinct values High cardinality
image has a high cardinality: 626 distinct values High cardinality
summary has a high cardinality: 808 distinct values High cardinality
_embedded_show_url has a high cardinality: 584 distinct values High cardinality
_embedded_show_name has a high cardinality: 582 distinct values High cardinality
_embedded_show_genres has a high cardinality: 151 distinct values High cardinality
_embedded_show_premiered has a high cardinality: 374 distinct values High cardinality
_embedded_show_ended has a high cardinality: 96 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 529 distinct values High cardinality
_embedded_show_summary has a high cardinality: 512 distinct values High cardinality
_links_self_href has a high cardinality: 131 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with numberHigh correlation
number is highly correlated with seasonHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_statusHigh correlation
_embedded_show_webChannel is highly correlated with _embedded_show_type and 3 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_webChannelHigh correlation
airtime is highly correlated with _embedded_show_webChannel and 1 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_ended and 1 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_webChannelHigh correlation
_embedded_show_dvdCountry is highly correlated with airtimeHigh correlation
id is highly correlated with _embedded_show_id and 3 other fieldsHigh correlation
season is highly correlated with number and 6 other fieldsHigh correlation
number is highly correlated with season and 9 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_language and 2 other fieldsHigh correlation
airtime is highly correlated with number and 11 other fieldsHigh correlation
runtime is highly correlated with season and 8 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 11 other fieldsHigh correlation
_embedded_show_type is highly correlated with season and 10 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 14 other fieldsHigh correlation
_embedded_show_status is highly correlated with number and 4 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 9 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with season and 8 other fieldsHigh correlation
_embedded_show_ended is highly correlated with id and 11 other fieldsHigh correlation
_embedded_show_weight is highly correlated with airtime and 5 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with airtime and 1 other fieldsHigh correlation
_embedded_show_updated is highly correlated with airtime and 5 other fieldsHigh correlation
_embedded_show_webChannel is highly correlated with id and 14 other fieldsHigh correlation
number has 80 (2.8%) missing values Missing
runtime has 222 (7.7%) missing values Missing
image has 2246 (78.2%) missing values Missing
_embedded_show_runtime has 880 (30.6%) missing values Missing
_embedded_show_averageRuntime has 158 (5.5%) missing values Missing
_embedded_show_webChannel has 2768 (96.4%) missing values Missing
url is uniformly distributed Uniform
image is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique

Reproduction

Analysis started2022-05-10 02:24:59.054154
Analysis finished2022-05-10 02:26:48.662652
Duration1 minute and 49.61 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct2872
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2025744.896
Minimum1732625
Maximum2324433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:48.736506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1732625
5-th percentile1961159.55
Q11978094.75
median1988998
Q32032714.75
95-th percentile2236493.45
Maximum2324433
Range591808
Interquartile range (IQR)54620

Descriptive statistics

Standard deviation85680.3243
Coefficient of variation (CV)0.04229571278
Kurtosis3.032245121
Mean2025744.896
Median Absolute Deviation (MAD)12862.5
Skewness1.916039619
Sum5817939342
Variance7341117972
MonotonicityNot monotonic
2022-05-09T21:26:48.866460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19798241
 
< 0.1%
20077501
 
< 0.1%
19985431
 
< 0.1%
21972871
 
< 0.1%
21975971
 
< 0.1%
22111371
 
< 0.1%
22396101
 
< 0.1%
23181091
 
< 0.1%
19893381
 
< 0.1%
19907231
 
< 0.1%
Other values (2862)2862
99.7%
ValueCountFrequency (%)
17326251
< 0.1%
18065901
< 0.1%
18645781
< 0.1%
19104461
< 0.1%
19104471
< 0.1%
19104481
< 0.1%
19104491
< 0.1%
19200591
< 0.1%
19200601
< 0.1%
19200611
< 0.1%
ValueCountFrequency (%)
23244331
< 0.1%
23244321
< 0.1%
23244301
< 0.1%
23244291
< 0.1%
23244281
< 0.1%
23244271
< 0.1%
23244261
< 0.1%
23244251
< 0.1%
23244241
< 0.1%
23244231
< 0.1%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct2872
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16
 
1
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5
 
1
https://www.tvmaze.com/episodes/1998543/love-script-1x04-episode-4
 
1
https://www.tvmaze.com/episodes/2197287/struggle-meals-1x11-going-with-the-grain
 
1
https://www.tvmaze.com/episodes/2197597/peace-of-mind-with-taraji-1x03-surviving-mental-breakdowns-with-tamar-braxton
 
1
Other values (2867)
2867 

Length

Max length174
Median length141
Mean length80.28447075
Min length51

Characters and Unicode

Total characters230577
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2872 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16
2nd rowhttps://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2
3rd rowhttps://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita
4th rowhttps://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9
5th rowhttps://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-161
 
< 0.1%
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-51
 
< 0.1%
https://www.tvmaze.com/episodes/1998543/love-script-1x04-episode-41
 
< 0.1%
https://www.tvmaze.com/episodes/2197287/struggle-meals-1x11-going-with-the-grain1
 
< 0.1%
https://www.tvmaze.com/episodes/2197597/peace-of-mind-with-taraji-1x03-surviving-mental-breakdowns-with-tamar-braxton1
 
< 0.1%
https://www.tvmaze.com/episodes/2211137/tunelis-1x04-episode-41
 
< 0.1%
https://www.tvmaze.com/episodes/2239610/scishow-kids-2020-12-21-whats-it-like-to-live-underground1
 
< 0.1%
https://www.tvmaze.com/episodes/2318109/bride-of-beirut-2x53-episode-531
 
< 0.1%
https://www.tvmaze.com/episodes/1989338/meet-me-outside-1x01-reservations1
 
< 0.1%
https://www.tvmaze.com/episodes/1990723/sj-returns-4x85-episode-851
 
< 0.1%
Other values (2862)2862
99.7%

Length

2022-05-09T21:26:48.985035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-161
 
< 0.1%
https://www.tvmaze.com/episodes/1972603/marvels-storyboards-2x04-nelson-figueroa-his-baseball-origin-story1
 
< 0.1%
https://www.tvmaze.com/episodes/1977518/alex-og-aune-1x02-brothers-in-bleik1
 
< 0.1%
https://www.tvmaze.com/episodes/2161414/mafia-nights-1x03-bazy-swm-grwh-awl1
 
< 0.1%
https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita1
 
< 0.1%
https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-91
 
< 0.1%
https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-801
 
< 0.1%
https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-51
 
< 0.1%
https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-171
 
< 0.1%
https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-181
 
< 0.1%
Other values (2862)2862
99.7%

Most occurring characters

ValueCountFrequency (%)
e19722
 
8.6%
-17868
 
7.7%
s14615
 
6.3%
/14360
 
6.2%
t14034
 
6.1%
o12242
 
5.3%
w9757
 
4.2%
a9421
 
4.1%
i8969
 
3.9%
p8310
 
3.6%
Other values (30)101279
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter156749
68.0%
Decimal Number32984
 
14.3%
Other Punctuation22976
 
10.0%
Dash Punctuation17868
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e19722
12.6%
s14615
 
9.3%
t14034
 
9.0%
o12242
 
7.8%
w9757
 
6.2%
a9421
 
6.0%
i8969
 
5.7%
p8310
 
5.3%
m8018
 
5.1%
d6538
 
4.2%
Other values (16)45123
28.8%
Decimal Number
ValueCountFrequency (%)
17155
21.7%
04626
14.0%
24591
13.9%
93958
12.0%
82289
 
6.9%
32240
 
6.8%
72228
 
6.8%
42010
 
6.1%
51965
 
6.0%
61922
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/14360
62.5%
.5744
 
25.0%
:2872
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-17868
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin156749
68.0%
Common73828
32.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e19722
12.6%
s14615
 
9.3%
t14034
 
9.0%
o12242
 
7.8%
w9757
 
6.2%
a9421
 
6.0%
i8969
 
5.7%
p8310
 
5.3%
m8018
 
5.1%
d6538
 
4.2%
Other values (16)45123
28.8%
Common
ValueCountFrequency (%)
-17868
24.2%
/14360
19.5%
17155
9.7%
.5744
 
7.8%
04626
 
6.3%
24591
 
6.2%
93958
 
5.4%
:2872
 
3.9%
82289
 
3.1%
32240
 
3.0%
Other values (4)8125
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII230577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e19722
 
8.6%
-17868
 
7.7%
s14615
 
6.3%
/14360
 
6.2%
t14034
 
6.1%
o12242
 
5.3%
w9757
 
4.2%
a9421
 
4.1%
i8969
 
3.9%
p8310
 
3.6%
Other values (30)101279
43.9%

name
Categorical

HIGH CARDINALITY

Distinct1959
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Episode 1
 
61
Episode 2
 
60
Episode 5
 
60
Episode 3
 
59
Episode 4
 
57
Other values (1954)
2575 

Length

Max length100
Median length95
Mean length18.3520195
Min length1

Characters and Unicode

Total characters52707
Distinct characters275
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1858 ?
Unique (%)64.7%

Sample

1st rowChanyeol's Episode 16
2nd rowСерия 2
3rd rowЛолита
4th rowEpisode 9
5th rowEpisode 80

Common Values

ValueCountFrequency (%)
Episode 161
 
2.1%
Episode 260
 
2.1%
Episode 560
 
2.1%
Episode 359
 
2.1%
Episode 457
 
2.0%
Episode 656
 
1.9%
Episode 745
 
1.6%
Episode 840
 
1.4%
Episode 1034
 
1.2%
Episode 932
 
1.1%
Other values (1949)2368
82.5%

Length

2022-05-09T21:26:49.126827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode979
 
10.3%
the305
 
3.2%
237
 
2.5%
2123
 
1.3%
1122
 
1.3%
585
 
0.9%
385
 
0.9%
482
 
0.9%
of82
 
0.9%
and78
 
0.8%
Other values (3768)7321
77.1%

Most occurring characters

ValueCountFrequency (%)
6628
 
12.6%
e4176
 
7.9%
o2789
 
5.3%
i2762
 
5.2%
s2316
 
4.4%
a2289
 
4.3%
r1930
 
3.7%
d1790
 
3.4%
n1650
 
3.1%
t1604
 
3.0%
Other values (265)24773
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter33975
64.5%
Uppercase Letter7563
 
14.3%
Space Separator6629
 
12.6%
Decimal Number2858
 
5.4%
Other Punctuation1083
 
2.1%
Other Letter250
 
0.5%
Dash Punctuation184
 
0.3%
Close Punctuation50
 
0.1%
Open Punctuation47
 
0.1%
Math Symbol38
 
0.1%
Other values (7)30
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4176
 
12.3%
o2789
 
8.2%
i2762
 
8.1%
s2316
 
6.8%
a2289
 
6.7%
r1930
 
5.7%
d1790
 
5.3%
n1650
 
4.9%
t1604
 
4.7%
p1403
 
4.1%
Other values (83)11266
33.2%
Other Letter
ValueCountFrequency (%)
و20
 
8.0%
ا16
 
6.4%
13
 
5.2%
13
 
5.2%
م12
 
4.8%
ر8
 
3.2%
ل8
 
3.2%
7
 
2.8%
ب7
 
2.8%
7
 
2.8%
Other values (61)139
55.6%
Uppercase Letter
ValueCountFrequency (%)
E1268
16.8%
T572
 
7.6%
S471
 
6.2%
C347
 
4.6%
D329
 
4.4%
A317
 
4.2%
M310
 
4.1%
H308
 
4.1%
B299
 
4.0%
F276
 
3.6%
Other values (56)3066
40.5%
Other Punctuation
ValueCountFrequency (%)
,277
25.6%
:192
17.7%
.137
12.7%
'117
10.8%
&68
 
6.3%
#64
 
5.9%
/63
 
5.8%
?57
 
5.3%
"52
 
4.8%
!50
 
4.6%
Other values (3)6
 
0.6%
Decimal Number
ValueCountFrequency (%)
1643
22.5%
2606
21.2%
0338
11.8%
3274
9.6%
4218
 
7.6%
6185
 
6.5%
5176
 
6.2%
7147
 
5.1%
9136
 
4.8%
8135
 
4.7%
Currency Symbol
ValueCountFrequency (%)
$3
37.5%
3
37.5%
£1
 
12.5%
¥1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-181
98.4%
2
 
1.1%
1
 
0.5%
Math Symbol
ValueCountFrequency (%)
|29
76.3%
~7
 
18.4%
×2
 
5.3%
Space Separator
ValueCountFrequency (%)
6628
> 99.9%
 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
)49
98.0%
]1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
(46
97.9%
[1
 
2.1%
Final Punctuation
ValueCountFrequency (%)
»8
100.0%
Initial Punctuation
ValueCountFrequency (%)
«8
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_2
100.0%
Modifier Symbol
ValueCountFrequency (%)
`1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin36194
68.7%
Common10918
 
20.7%
Cyrillic5345
 
10.1%
Arabic128
 
0.2%
Hangul93
 
0.2%
Han29
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4176
 
11.5%
o2789
 
7.7%
i2762
 
7.6%
s2316
 
6.4%
a2289
 
6.3%
r1930
 
5.3%
d1790
 
4.9%
n1650
 
4.6%
t1604
 
4.4%
p1403
 
3.9%
Other values (79)13485
37.3%
Cyrillic
ValueCountFrequency (%)
а436
 
8.2%
и393
 
7.4%
о390
 
7.3%
е381
 
7.1%
р321
 
6.0%
н273
 
5.1%
с206
 
3.9%
к205
 
3.8%
л197
 
3.7%
т183
 
3.4%
Other values (61)2360
44.2%
Common
ValueCountFrequency (%)
6628
60.7%
1643
 
5.9%
2606
 
5.6%
0338
 
3.1%
,277
 
2.5%
3274
 
2.5%
4218
 
2.0%
:192
 
1.8%
6185
 
1.7%
-181
 
1.7%
Other values (34)1376
 
12.6%
Hangul
ValueCountFrequency (%)
7
 
7.5%
7
 
7.5%
5
 
5.4%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (33)48
51.6%
Arabic
ValueCountFrequency (%)
و20
15.6%
ا16
12.5%
م12
 
9.4%
ر8
 
6.2%
ل8
 
6.2%
ب7
 
5.5%
د6
 
4.7%
ه6
 
4.7%
گ5
 
3.9%
ن5
 
3.9%
Other values (13)35
27.3%
Han
ValueCountFrequency (%)
13
44.8%
13
44.8%
1
 
3.4%
1
 
3.4%
1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII46882
88.9%
Cyrillic5345
 
10.1%
None219
 
0.4%
Arabic128
 
0.2%
Hangul93
 
0.2%
CJK29
 
0.1%
Punctuation5
 
< 0.1%
Currency Symbols3
 
< 0.1%
Letterlike Symbols2
 
< 0.1%
Number Forms1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6628
 
14.1%
e4176
 
8.9%
o2789
 
5.9%
i2762
 
5.9%
s2316
 
4.9%
a2289
 
4.9%
r1930
 
4.1%
d1790
 
3.8%
n1650
 
3.5%
t1604
 
3.4%
Other values (75)18948
40.4%
Cyrillic
ValueCountFrequency (%)
а436
 
8.2%
и393
 
7.4%
о390
 
7.3%
е381
 
7.1%
р321
 
6.0%
н273
 
5.1%
с206
 
3.9%
к205
 
3.8%
л197
 
3.7%
т183
 
3.4%
Other values (61)2360
44.2%
None
ValueCountFrequency (%)
ö27
 
12.3%
ø25
 
11.4%
å24
 
11.0%
ü17
 
7.8%
ó15
 
6.8%
í12
 
5.5%
é8
 
3.7%
»8
 
3.7%
«8
 
3.7%
ä7
 
3.2%
Other values (32)68
31.1%
Arabic
ValueCountFrequency (%)
و20
15.6%
ا16
12.5%
م12
 
9.4%
ر8
 
6.2%
ل8
 
6.2%
ب7
 
5.5%
د6
 
4.7%
ه6
 
4.7%
گ5
 
3.9%
ن5
 
3.9%
Other values (13)35
27.3%
CJK
ValueCountFrequency (%)
13
44.8%
13
44.8%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Hangul
ValueCountFrequency (%)
7
 
7.5%
7
 
7.5%
5
 
5.4%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (33)48
51.6%
Currency Symbols
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct28
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.7099582
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:49.249284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation522.9956146
Coefficient of variation (CV)3.516883609
Kurtosis8.901424943
Mean148.7099582
Median Absolute Deviation (MAD)0
Skewness3.300611482
Sum427095
Variance273524.4129
MonotonicityNot monotonic
2022-05-09T21:26:49.325836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
11777
61.9%
2312
 
10.9%
2020207
 
7.2%
3158
 
5.5%
4145
 
5.0%
549
 
1.7%
738
 
1.3%
635
 
1.2%
1823
 
0.8%
920
 
0.7%
Other values (18)108
 
3.8%
ValueCountFrequency (%)
11777
61.9%
2312
 
10.9%
3158
 
5.5%
4145
 
5.0%
549
 
1.7%
635
 
1.2%
738
 
1.3%
818
 
0.6%
920
 
0.7%
1019
 
0.7%
ValueCountFrequency (%)
2020207
7.2%
20191
 
< 0.1%
542
 
0.1%
515
 
0.2%
484
 
0.1%
3118
 
0.6%
304
 
0.1%
274
 
0.1%
231
 
< 0.1%
196
 
0.2%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct199
Distinct (%)7.1%
Missing80
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean23.85207736
Minimum1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:49.448638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q320
95-th percentile83
Maximum358
Range357
Interquartile range (IQR)16

Descriptive statistics

Standard deviation52.9642765
Coefficient of variation (CV)2.220530971
Kurtosis23.4816529
Mean23.85207736
Median Absolute Deviation (MAD)5
Skewness4.729151928
Sum66595
Variance2805.214585
MonotonicityNot monotonic
2022-05-09T21:26:49.558281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2206
 
7.2%
3205
 
7.1%
1202
 
7.0%
4195
 
6.8%
5181
 
6.3%
6173
 
6.0%
7145
 
5.0%
8143
 
5.0%
10102
 
3.6%
994
 
3.3%
Other values (189)1146
39.9%
(Missing)80
 
2.8%
ValueCountFrequency (%)
1202
7.0%
2206
7.2%
3205
7.1%
4195
6.8%
5181
6.3%
6173
6.0%
7145
5.0%
8143
5.0%
994
3.3%
10102
3.6%
ValueCountFrequency (%)
3581
< 0.1%
3571
< 0.1%
3561
< 0.1%
3551
< 0.1%
3541
< 0.1%
3531
< 0.1%
3521
< 0.1%
3511
< 0.1%
3501
< 0.1%
3491
< 0.1%

type
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
regular
2792 
significant_special
 
45
insignificant_special
 
35

Length

Max length21
Median length7
Mean length7.358635097
Min length7

Characters and Unicode

Total characters21134
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular2792
97.2%
significant_special45
 
1.6%
insignificant_special35
 
1.2%

Length

2022-05-09T21:26:49.667853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:26:49.762036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular2792
97.2%
significant_special45
 
1.6%
insignificant_special35
 
1.2%

Most occurring characters

ValueCountFrequency (%)
r5584
26.4%
a2952
14.0%
e2872
13.6%
g2872
13.6%
l2872
13.6%
u2792
13.2%
i355
 
1.7%
n195
 
0.9%
s160
 
0.8%
c160
 
0.8%
Other values (4)320
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter21054
99.6%
Connector Punctuation80
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r5584
26.5%
a2952
14.0%
e2872
13.6%
g2872
13.6%
l2872
13.6%
u2792
13.3%
i355
 
1.7%
n195
 
0.9%
s160
 
0.8%
c160
 
0.8%
Other values (3)240
 
1.1%
Connector Punctuation
ValueCountFrequency (%)
_80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin21054
99.6%
Common80
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r5584
26.5%
a2952
14.0%
e2872
13.6%
g2872
13.6%
l2872
13.6%
u2792
13.3%
i355
 
1.7%
n195
 
0.9%
s160
 
0.8%
c160
 
0.8%
Other values (3)240
 
1.1%
Common
ValueCountFrequency (%)
_80
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII21134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r5584
26.4%
a2952
14.0%
e2872
13.6%
g2872
13.6%
l2872
13.6%
u2792
13.2%
i355
 
1.7%
n195
 
0.9%
s160
 
0.8%
c160
 
0.8%
Other values (4)320
 
1.5%

airdate
Categorical

HIGH CORRELATION

Distinct31
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
2020-12-31
 
131
2020-12-04
 
131
2020-12-25
 
131
2020-12-18
 
131
2020-12-10
 
131
Other values (26)
2217 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters28720
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-01
2nd row2020-12-01
3rd row2020-12-01
4th row2020-12-01
5th row2020-12-01

Common Values

ValueCountFrequency (%)
2020-12-31131
 
4.6%
2020-12-04131
 
4.6%
2020-12-25131
 
4.6%
2020-12-18131
 
4.6%
2020-12-10131
 
4.6%
2020-12-11131
 
4.6%
2020-12-03130
 
4.5%
2020-12-24115
 
4.0%
2020-12-30111
 
3.9%
2020-12-15111
 
3.9%
Other values (21)1619
56.4%

Length

2022-05-09T21:26:49.842581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-31131
 
4.6%
2020-12-04131
 
4.6%
2020-12-25131
 
4.6%
2020-12-18131
 
4.6%
2020-12-10131
 
4.6%
2020-12-11131
 
4.6%
2020-12-03130
 
4.5%
2020-12-24115
 
4.0%
2020-12-30111
 
3.9%
2020-12-15111
 
3.9%
Other values (21)1619
56.4%

Most occurring characters

ValueCountFrequency (%)
29672
33.7%
06844
23.8%
-5744
20.0%
14302
15.0%
3518
 
1.8%
4355
 
1.2%
8310
 
1.1%
5296
 
1.0%
7245
 
0.9%
6229
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number22976
80.0%
Dash Punctuation5744
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
29672
42.1%
06844
29.8%
14302
18.7%
3518
 
2.3%
4355
 
1.5%
8310
 
1.3%
5296
 
1.3%
7245
 
1.1%
6229
 
1.0%
9205
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
-5744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common28720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
29672
33.7%
06844
23.8%
-5744
20.0%
14302
15.0%
3518
 
1.8%
4355
 
1.2%
8310
 
1.1%
5296
 
1.0%
7245
 
0.9%
6229
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII28720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29672
33.7%
06844
23.8%
-5744
20.0%
14302
15.0%
3518
 
1.8%
4355
 
1.2%
8310
 
1.1%
5296
 
1.0%
7245
 
0.9%
6229
 
0.8%

airtime
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct53
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
2035 
20:00
318 
12:00
 
114
06:00
 
74
10:00
 
53
Other values (48)
278 

Length

Max length5
Median length3
Mean length3.582869081
Min length3

Characters and Unicode

Total characters10290
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.7%

Sample

1st row06:00
2nd rownan
3rd rownan
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
nan2035
70.9%
20:00318
 
11.1%
12:00114
 
4.0%
06:0074
 
2.6%
10:0053
 
1.8%
21:0051
 
1.8%
17:0022
 
0.8%
18:0020
 
0.7%
19:0020
 
0.7%
11:0016
 
0.6%
Other values (43)149
 
5.2%

Length

2022-05-09T21:26:49.959660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan2035
70.9%
20:00318
 
11.1%
12:00114
 
4.0%
06:0074
 
2.6%
10:0053
 
1.8%
21:0051
 
1.8%
17:0022
 
0.8%
18:0020
 
0.7%
19:0020
 
0.7%
11:0016
 
0.6%
Other values (43)149
 
5.2%

Most occurring characters

ValueCountFrequency (%)
n4070
39.6%
02101
20.4%
a2035
19.8%
:837
 
8.1%
2564
 
5.5%
1378
 
3.7%
691
 
0.9%
556
 
0.5%
837
 
0.4%
936
 
0.3%
Other values (3)85
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6105
59.3%
Decimal Number3348
32.5%
Other Punctuation837
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
02101
62.8%
2564
 
16.8%
1378
 
11.3%
691
 
2.7%
556
 
1.7%
837
 
1.1%
936
 
1.1%
735
 
1.0%
333
 
1.0%
417
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
n4070
66.7%
a2035
33.3%
Other Punctuation
ValueCountFrequency (%)
:837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6105
59.3%
Common4185
40.7%

Most frequent character per script

Common
ValueCountFrequency (%)
02101
50.2%
:837
 
20.0%
2564
 
13.5%
1378
 
9.0%
691
 
2.2%
556
 
1.3%
837
 
0.9%
936
 
0.9%
735
 
0.8%
333
 
0.8%
Latin
ValueCountFrequency (%)
n4070
66.7%
a2035
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII10290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n4070
39.6%
02101
20.4%
a2035
19.8%
:837
 
8.1%
2564
 
5.5%
1378
 
3.7%
691
 
0.9%
556
 
0.5%
837
 
0.4%
936
 
0.3%
Other values (3)85
 
0.8%

airstamp
Categorical

HIGH CARDINALITY

Distinct504
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
2020-12-04T12:00:00+00:00
 
89
2020-12-15T12:00:00+00:00
 
82
2020-12-14T12:00:00+00:00
 
78
2020-12-25T12:00:00+00:00
 
75
2020-12-16T12:00:00+00:00
 
74
Other values (499)
2474 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters71800
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)8.8%

Sample

1st row2020-11-30T21:00:00+00:00
2nd row2020-12-01T00:00:00+00:00
3rd row2020-12-01T00:00:00+00:00
4th row2020-12-01T02:00:00+00:00
5th row2020-12-01T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-04T12:00:00+00:0089
 
3.1%
2020-12-15T12:00:00+00:0082
 
2.9%
2020-12-14T12:00:00+00:0078
 
2.7%
2020-12-25T12:00:00+00:0075
 
2.6%
2020-12-16T12:00:00+00:0074
 
2.6%
2020-12-18T12:00:00+00:0074
 
2.6%
2020-12-30T12:00:00+00:0070
 
2.4%
2020-12-11T12:00:00+00:0066
 
2.3%
2020-12-01T12:00:00+00:0063
 
2.2%
2020-12-08T12:00:00+00:0061
 
2.1%
Other values (494)2140
74.5%

Length

2022-05-09T21:26:50.184814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-04t12:00:00+00:0089
 
3.1%
2020-12-15t12:00:00+00:0082
 
2.9%
2020-12-14t12:00:00+00:0078
 
2.7%
2020-12-25t12:00:00+00:0075
 
2.6%
2020-12-16t12:00:00+00:0074
 
2.6%
2020-12-18t12:00:00+00:0074
 
2.6%
2020-12-30t12:00:00+00:0070
 
2.4%
2020-12-11t12:00:00+00:0066
 
2.3%
2020-12-01t12:00:00+00:0063
 
2.2%
2020-12-08t12:00:00+00:0061
 
2.1%
Other values (494)2140
74.5%

Most occurring characters

ValueCountFrequency (%)
030542
42.5%
211327
 
15.8%
:8616
 
12.0%
16602
 
9.2%
-5744
 
8.0%
T2872
 
4.0%
+2872
 
4.0%
3716
 
1.0%
4647
 
0.9%
5452
 
0.6%
Other values (4)1410
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number51696
72.0%
Other Punctuation8616
 
12.0%
Dash Punctuation5744
 
8.0%
Uppercase Letter2872
 
4.0%
Math Symbol2872
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
030542
59.1%
211327
 
21.9%
16602
 
12.8%
3716
 
1.4%
4647
 
1.3%
5452
 
0.9%
7423
 
0.8%
8345
 
0.7%
6341
 
0.7%
9301
 
0.6%
Other Punctuation
ValueCountFrequency (%)
:8616
100.0%
Dash Punctuation
ValueCountFrequency (%)
-5744
100.0%
Uppercase Letter
ValueCountFrequency (%)
T2872
100.0%
Math Symbol
ValueCountFrequency (%)
+2872
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common68928
96.0%
Latin2872
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
030542
44.3%
211327
 
16.4%
:8616
 
12.5%
16602
 
9.6%
-5744
 
8.3%
+2872
 
4.2%
3716
 
1.0%
4647
 
0.9%
5452
 
0.7%
7423
 
0.6%
Other values (3)987
 
1.4%
Latin
ValueCountFrequency (%)
T2872
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII71800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
030542
42.5%
211327
 
15.8%
:8616
 
12.0%
16602
 
9.2%
-5744
 
8.0%
T2872
 
4.0%
+2872
 
4.0%
3716
 
1.0%
4647
 
0.9%
5452
 
0.6%
Other values (4)1410
 
2.0%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct112
Distinct (%)4.2%
Missing222
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean37.94830189
Minimum1
Maximum335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:50.279140image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q120
median32
Q345
95-th percentile91.55
Maximum335
Range334
Interquartile range (IQR)25

Descriptive statistics

Standard deviation30.42884575
Coefficient of variation (CV)0.8018499969
Kurtosis18.37190917
Mean37.94830189
Median Absolute Deviation (MAD)13
Skewness3.19248397
Sum100563
Variance925.9146536
MonotonicityNot monotonic
2022-05-09T21:26:50.402538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45474
 
16.5%
30178
 
6.2%
20133
 
4.6%
60129
 
4.5%
1285
 
3.0%
2581
 
2.8%
12077
 
2.7%
1567
 
2.3%
5059
 
2.1%
2359
 
2.1%
Other values (102)1308
45.5%
(Missing)222
 
7.7%
ValueCountFrequency (%)
15
 
0.2%
210
 
0.3%
33
 
0.1%
426
0.9%
558
2.0%
617
 
0.6%
750
1.7%
842
1.5%
918
 
0.6%
1047
1.6%
ValueCountFrequency (%)
3351
 
< 0.1%
3004
0.1%
2931
 
< 0.1%
2403
0.1%
2131
 
< 0.1%
2081
 
< 0.1%
1961
 
< 0.1%
1881
 
< 0.1%
1841
 
< 0.1%
1807
0.2%

image
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct626
Distinct (%)100.0%
Missing2246
Missing (%)78.2%
Memory size22.6 KiB
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/407/1018513.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/407/1018513.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726351.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726351.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724050.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724050.jpg'}
 
1
Other values (621)
621 

Length

Max length178
Median length176
Mean length176.057508
Min length176

Characters and Unicode

Total characters110212
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique626 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/715105.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/715105.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710997.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710997.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/407/1018513.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/407/1018513.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726351.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726351.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724050.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724050.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723540.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723540.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721856.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721856.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720566.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720566.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723198.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723198.jpg'}1
 
< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg'}1
 
< 0.1%
Other values (616)616
 
21.4%
(Missing)2246
78.2%

Length

2022-05-09T21:26:50.502013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium626
25.0%
original626
25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/285/714313.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714313.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/715032.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715032.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg1
 
< 0.1%
Other values (1244)1244
49.7%

Most occurring characters

ValueCountFrequency (%)
/8764
 
8.0%
a7512
 
6.8%
t6886
 
6.2%
m6260
 
5.7%
i6260
 
5.7%
s5634
 
5.1%
e5008
 
4.5%
'5008
 
4.5%
o4382
 
4.0%
p4382
 
4.0%
Other values (28)50116
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter73868
67.0%
Other Punctuation20658
 
18.7%
Decimal Number11304
 
10.3%
Space Separator1878
 
1.7%
Connector Punctuation1252
 
1.1%
Close Punctuation626
 
0.6%
Open Punctuation626
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a7512
 
10.2%
t6886
 
9.3%
m6260
 
8.5%
i6260
 
8.5%
s5634
 
7.6%
e5008
 
6.8%
o4382
 
5.9%
p4382
 
5.9%
g3756
 
5.1%
c3756
 
5.1%
Other values (9)20032
27.1%
Decimal Number
ValueCountFrequency (%)
22370
21.0%
71818
16.1%
81534
13.6%
9992
8.8%
1964
8.5%
6870
 
7.7%
0850
 
7.5%
3824
 
7.3%
5550
 
4.9%
4532
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/8764
42.4%
'5008
24.2%
.3756
18.2%
:2504
 
12.1%
,626
 
3.0%
Space Separator
ValueCountFrequency (%)
1878
100.0%
Connector Punctuation
ValueCountFrequency (%)
_1252
100.0%
Close Punctuation
ValueCountFrequency (%)
}626
100.0%
Open Punctuation
ValueCountFrequency (%)
{626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin73868
67.0%
Common36344
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/8764
24.1%
'5008
13.8%
.3756
10.3%
:2504
 
6.9%
22370
 
6.5%
1878
 
5.2%
71818
 
5.0%
81534
 
4.2%
_1252
 
3.4%
9992
 
2.7%
Other values (9)6468
17.8%
Latin
ValueCountFrequency (%)
a7512
 
10.2%
t6886
 
9.3%
m6260
 
8.5%
i6260
 
8.5%
s5634
 
7.6%
e5008
 
6.8%
o4382
 
5.9%
p4382
 
5.9%
g3756
 
5.1%
c3756
 
5.1%
Other values (9)20032
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII110212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/8764
 
8.0%
a7512
 
6.8%
t6886
 
6.2%
m6260
 
5.7%
i6260
 
5.7%
s5634
 
5.1%
e5008
 
4.5%
'5008
 
4.5%
o4382
 
4.0%
p4382
 
4.0%
Other values (28)50116
45.5%

summary
Categorical

HIGH CARDINALITY

Distinct808
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
2061 
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>
 
3
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>
 
2
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>
 
2
<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>
 
1
Other values (803)
803 

Length

Max length1080
Median length3
Mean length57.11072423
Min length3

Characters and Unicode

Total characters164022
Distinct characters134
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique804 ?
Unique (%)28.0%

Sample

1st row<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan2061
71.8%
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>3
 
0.1%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>2
 
0.1%
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>2
 
0.1%
<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>1
 
< 0.1%
<p>The Wistful Wish's journey comes to a close, but not before one last bit of terror from the deep.</p>1
 
< 0.1%
<p>Sanjeev Kohli presents a special festive compilation of some of the best of online comedy from Short Stuff and BBC Scotland's the Social. with clips featuring Farmer Jim Smith, Duncan and Judy Murray, Ashley Storrie and more.</p>1
 
< 0.1%
<p>Yun-hsiang becomes trapped in a parallel consciousness. Cheng Wen-liang seeks his uncle's aid in preventing Jui-hsin's vengeful plan.</p><p><br /> </p>1
 
< 0.1%
<p>Tregaye Fraser prepares a Sunday feast for her family with love, laughs, stories and great food! She makes her Grandma's Mac and Cheese, Smothered Pork Chops and Collard Greens.</p>1
 
< 0.1%
<p>Always alone at school, Yamasato was able to live away from reality by writing his fantasy stories in his notebook. In the story, he is the center of the world, and the heroine, by default, is Ai (Hashimoto Ai), the popular girl at the school. But one day when he opened his notebook, he found the rest of the story he had never written... </p>1
 
< 0.1%
Other values (798)798
 
27.8%

Length

2022-05-09T21:26:50.628097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan2061
 
7.4%
the1411
 
5.1%
to909
 
3.3%
and831
 
3.0%
a718
 
2.6%
of517
 
1.9%
in349
 
1.3%
with292
 
1.0%
her281
 
1.0%
p236
 
0.8%
Other values (6998)20296
72.7%

Most occurring characters

ValueCountFrequency (%)
24786
15.1%
e14546
 
8.9%
n12432
 
7.6%
a12111
 
7.4%
t10070
 
6.1%
i8468
 
5.2%
o8458
 
5.2%
s8130
 
5.0%
r7590
 
4.6%
h6248
 
3.8%
Other values (124)51183
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter123268
75.2%
Space Separator25067
 
15.3%
Uppercase Letter5718
 
3.5%
Other Punctuation4959
 
3.0%
Math Symbol4320
 
2.6%
Dash Punctuation293
 
0.2%
Decimal Number291
 
0.2%
Open Punctuation47
 
< 0.1%
Close Punctuation47
 
< 0.1%
Currency Symbol4
 
< 0.1%
Other values (3)8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e14546
11.8%
n12432
10.1%
a12111
 
9.8%
t10070
 
8.2%
i8468
 
6.9%
o8458
 
6.9%
s8130
 
6.6%
r7590
 
6.2%
h6248
 
5.1%
l4626
 
3.8%
Other values (51)30589
24.8%
Uppercase Letter
ValueCountFrequency (%)
T530
 
9.3%
A510
 
8.9%
S494
 
8.6%
M384
 
6.7%
C379
 
6.6%
R304
 
5.3%
B271
 
4.7%
W235
 
4.1%
L223
 
3.9%
J221
 
3.9%
Other values (21)2167
37.9%
Other Punctuation
ValueCountFrequency (%)
.1548
31.2%
,1270
25.6%
/1176
23.7%
'613
 
12.4%
"81
 
1.6%
?80
 
1.6%
!62
 
1.3%
:35
 
0.7%
;33
 
0.7%
#27
 
0.5%
Other values (5)34
 
0.7%
Decimal Number
ValueCountFrequency (%)
069
23.7%
162
21.3%
250
17.2%
931
10.7%
728
9.6%
515
 
5.2%
413
 
4.5%
811
 
3.8%
37
 
2.4%
65
 
1.7%
Math Symbol
ValueCountFrequency (%)
<2159
50.0%
>2159
50.0%
+2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
-255
87.0%
36
 
12.3%
2
 
0.7%
Space Separator
ValueCountFrequency (%)
24786
98.9%
 281
 
1.1%
Currency Symbol
ValueCountFrequency (%)
£3
75.0%
$1
 
25.0%
Other Letter
ValueCountFrequency (%)
2
66.7%
1
33.3%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Open Punctuation
ValueCountFrequency (%)
(47
100.0%
Close Punctuation
ValueCountFrequency (%)
)47
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin128888
78.6%
Common35033
 
21.4%
Cyrillic98
 
0.1%
Hangul3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e14546
11.3%
n12432
 
9.6%
a12111
 
9.4%
t10070
 
7.8%
i8468
 
6.6%
o8458
 
6.6%
s8130
 
6.3%
r7590
 
5.9%
h6248
 
4.8%
l4626
 
3.6%
Other values (55)36209
28.1%
Common
ValueCountFrequency (%)
24786
70.8%
<2159
 
6.2%
>2159
 
6.2%
.1548
 
4.4%
,1270
 
3.6%
/1176
 
3.4%
'613
 
1.7%
 281
 
0.8%
-255
 
0.7%
"81
 
0.2%
Other values (30)705
 
2.0%
Cyrillic
ValueCountFrequency (%)
о11
 
11.2%
а10
 
10.2%
е8
 
8.2%
р7
 
7.1%
и7
 
7.1%
в6
 
6.1%
т5
 
5.1%
м5
 
5.1%
к4
 
4.1%
л4
 
4.1%
Other values (17)31
31.6%
Hangul
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII163541
99.7%
None330
 
0.2%
Cyrillic98
 
0.1%
Punctuation48
 
< 0.1%
Compat Jamo3
 
< 0.1%
Misc Symbols2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24786
15.2%
e14546
 
8.9%
n12432
 
7.6%
a12111
 
7.4%
t10070
 
6.2%
i8468
 
5.2%
o8458
 
5.2%
s8130
 
5.0%
r7590
 
4.6%
h6248
 
3.8%
Other values (74)50702
31.0%
None
ValueCountFrequency (%)
 281
85.2%
é14
 
4.2%
í7
 
2.1%
ó6
 
1.8%
£3
 
0.9%
ö3
 
0.9%
ä3
 
0.9%
è3
 
0.9%
ê2
 
0.6%
å2
 
0.6%
Other values (5)6
 
1.8%
Punctuation
ValueCountFrequency (%)
36
75.0%
7
 
14.6%
3
 
6.2%
2
 
4.2%
Cyrillic
ValueCountFrequency (%)
о11
 
11.2%
а10
 
10.2%
е8
 
8.2%
р7
 
7.1%
и7
 
7.1%
в6
 
6.1%
т5
 
5.1%
м5
 
5.1%
к4
 
4.1%
л4
 
4.1%
Other values (17)31
31.6%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct584
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46603.32974
Minimum802
Maximum61909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:50.753611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum802
5-th percentile15250
Q144057
median51914
Q352781
95-th percentile58689
Maximum61909
Range61107
Interquartile range (IQR)8724

Descriptive statistics

Standard deviation12365.0034
Coefficient of variation (CV)0.2653244623
Kurtosis3.116785348
Mean46603.32974
Median Absolute Deviation (MAD)2767
Skewness-1.88133914
Sum133844763
Variance152893309.2
MonotonicityNot monotonic
2022-05-09T21:26:50.879794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1525038
 
1.3%
5535532
 
1.1%
3060631
 
1.1%
5210429
 
1.0%
5274328
 
1.0%
4791226
 
0.9%
5242126
 
0.9%
5075224
 
0.8%
5265524
 
0.8%
5280624
 
0.8%
Other values (574)2590
90.2%
ValueCountFrequency (%)
8024
 
0.1%
15962
 
0.1%
18255
 
0.2%
22666
 
0.2%
250418
0.6%
28551
 
< 0.1%
37341
 
< 0.1%
40913
 
0.1%
60904
 
0.1%
60971
 
< 0.1%
ValueCountFrequency (%)
619093
 
0.1%
6175522
0.8%
616742
 
0.1%
6155612
0.4%
615363
 
0.1%
615304
 
0.1%
612472
 
0.1%
609495
 
0.2%
6084812
0.4%
608097
 
0.2%

_embedded_show_url
Categorical

HIGH CARDINALITY

Distinct584
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
https://www.tvmaze.com/shows/15250/the-young-turks
 
38
https://www.tvmaze.com/shows/55355/90-day-fiance-extras
 
32
https://www.tvmaze.com/shows/30606/scishow
 
31
https://www.tvmaze.com/shows/52104/twisted-fate-of-love
 
29
https://www.tvmaze.com/shows/52743/the-penalty-zone
 
28
Other values (579)
2714 

Length

Max length85
Median length69
Mean length50.7270195
Min length38

Characters and Unicode

Total characters145688
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)4.0%

Sample

1st rowhttps://www.tvmaze.com/shows/41648/sim-for-you
2nd rowhttps://www.tvmaze.com/shows/52198/kotiki
3rd rowhttps://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
4th rowhttps://www.tvmaze.com/shows/51336/core-sense
5th rowhttps://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks38
 
1.3%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras32
 
1.1%
https://www.tvmaze.com/shows/30606/scishow31
 
1.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love29
 
1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone28
 
1.0%
https://www.tvmaze.com/shows/47912/the-wolf26
 
0.9%
https://www.tvmaze.com/shows/52421/you-complete-me26
 
0.9%
https://www.tvmaze.com/shows/50752/stjernestov24
 
0.8%
https://www.tvmaze.com/shows/52655/the-case-solver24
 
0.8%
https://www.tvmaze.com/shows/52806/ultimate-note24
 
0.8%
Other values (574)2590
90.2%

Length

2022-05-09T21:26:51.052060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks38
 
1.3%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras32
 
1.1%
https://www.tvmaze.com/shows/30606/scishow31
 
1.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love29
 
1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone28
 
1.0%
https://www.tvmaze.com/shows/47912/the-wolf26
 
0.9%
https://www.tvmaze.com/shows/52421/you-complete-me26
 
0.9%
https://www.tvmaze.com/shows/50752/stjernestov24
 
0.8%
https://www.tvmaze.com/shows/52655/the-case-solver24
 
0.8%
https://www.tvmaze.com/shows/52806/ultimate-note24
 
0.8%
Other values (574)2590
90.2%

Most occurring characters

ValueCountFrequency (%)
/14360
 
9.9%
w12199
 
8.4%
t11618
 
8.0%
s11287
 
7.7%
o8717
 
6.0%
e7945
 
5.5%
h7237
 
5.0%
m6904
 
4.7%
a5961
 
4.1%
.5744
 
3.9%
Other values (30)53716
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter102982
70.7%
Other Punctuation22976
 
15.8%
Decimal Number14582
 
10.0%
Dash Punctuation5148
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w12199
11.8%
t11618
11.3%
s11287
11.0%
o8717
 
8.5%
e7945
 
7.7%
h7237
 
7.0%
m6904
 
6.7%
a5961
 
5.8%
c3909
 
3.8%
p3562
 
3.5%
Other values (16)23643
23.0%
Decimal Number
ValueCountFrequency (%)
52831
19.4%
21809
12.4%
41756
12.0%
11457
10.0%
01235
8.5%
61191
8.2%
31189
8.2%
91105
 
7.6%
81025
 
7.0%
7984
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/14360
62.5%
.5744
 
25.0%
:2872
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-5148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin102982
70.7%
Common42706
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w12199
11.8%
t11618
11.3%
s11287
11.0%
o8717
 
8.5%
e7945
 
7.7%
h7237
 
7.0%
m6904
 
6.7%
a5961
 
5.8%
c3909
 
3.8%
p3562
 
3.5%
Other values (16)23643
23.0%
Common
ValueCountFrequency (%)
/14360
33.6%
.5744
 
13.5%
-5148
 
12.1%
:2872
 
6.7%
52831
 
6.6%
21809
 
4.2%
41756
 
4.1%
11457
 
3.4%
01235
 
2.9%
61191
 
2.8%
Other values (4)4303
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII145688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/14360
 
9.9%
w12199
 
8.4%
t11618
 
8.0%
s11287
 
7.7%
o8717
 
6.0%
e7945
 
5.5%
h7237
 
5.0%
m6904
 
4.7%
a5961
 
4.1%
.5744
 
3.9%
Other values (30)53716
36.9%

_embedded_show_name
Categorical

HIGH CARDINALITY

Distinct582
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
The Young Turks
 
38
90 Day Fiancé: Extras
 
32
SciShow
 
31
Twisted Fate of Love
 
29
The Penalty Zone
 
28
Other values (577)
2714 

Length

Max length51
Median length37
Mean length15.99651811
Min length3

Characters and Unicode

Total characters45942
Distinct characters171
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)4.0%

Sample

1st rowSim for You
2nd rowКотики
3rd rowLAB с Антоном Беляевым
4th rowCore Sense
5th rowWu Shen Zhu Zai

Common Values

ValueCountFrequency (%)
The Young Turks38
 
1.3%
90 Day Fiancé: Extras32
 
1.1%
SciShow31
 
1.1%
Twisted Fate of Love29
 
1.0%
The Penalty Zone28
 
1.0%
The Wolf26
 
0.9%
You Complete Me26
 
0.9%
Ultimate Note24
 
0.8%
Stjernestøv24
 
0.8%
Youths in the Breeze24
 
0.8%
Other values (572)2590
90.2%

Length

2022-05-09T21:26:51.187968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the433
 
5.4%
of183
 
2.3%
love123
 
1.5%
you76
 
0.9%
in64
 
0.8%
a55
 
0.7%
week46
 
0.6%
my45
 
0.6%
to44
 
0.5%
me42
 
0.5%
Other values (1201)6913
86.2%

Most occurring characters

ValueCountFrequency (%)
5152
 
11.2%
e4513
 
9.8%
o2511
 
5.5%
a2474
 
5.4%
n2260
 
4.9%
i2253
 
4.9%
r2212
 
4.8%
t2009
 
4.4%
s1822
 
4.0%
l1428
 
3.1%
Other values (161)19308
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter32621
71.0%
Uppercase Letter7187
 
15.6%
Space Separator5152
 
11.2%
Other Punctuation625
 
1.4%
Decimal Number307
 
0.7%
Dash Punctuation30
 
0.1%
Close Punctuation8
 
< 0.1%
Currency Symbol8
 
< 0.1%
Open Punctuation4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4513
13.8%
o2511
 
7.7%
a2474
 
7.6%
n2260
 
6.9%
i2253
 
6.9%
r2212
 
6.8%
t2009
 
6.2%
s1822
 
5.6%
l1428
 
4.4%
h1242
 
3.8%
Other values (74)9897
30.3%
Uppercase Letter
ValueCountFrequency (%)
T841
 
11.7%
S632
 
8.8%
B478
 
6.7%
M421
 
5.9%
L399
 
5.6%
W399
 
5.6%
C382
 
5.3%
F356
 
5.0%
A314
 
4.4%
D303
 
4.2%
Other values (48)2662
37.0%
Other Punctuation
ValueCountFrequency (%)
:230
36.8%
'141
22.6%
.77
 
12.3%
!64
 
10.2%
,44
 
7.0%
?26
 
4.2%
&21
 
3.4%
%8
 
1.3%
#6
 
1.0%
@4
 
0.6%
Other values (2)4
 
0.6%
Decimal Number
ValueCountFrequency (%)
099
32.2%
272
23.5%
333
 
10.7%
132
 
10.4%
932
 
10.4%
715
 
4.9%
510
 
3.3%
68
 
2.6%
84
 
1.3%
42
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-27
90.0%
3
 
10.0%
Currency Symbol
ValueCountFrequency (%)
$4
50.0%
4
50.0%
Space Separator
ValueCountFrequency (%)
5152
100.0%
Close Punctuation
ValueCountFrequency (%)
)8
100.0%
Open Punctuation
ValueCountFrequency (%)
(4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin37138
80.8%
Common6134
 
13.4%
Cyrillic2502
 
5.4%
Greek168
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4513
 
12.2%
o2511
 
6.8%
a2474
 
6.7%
n2260
 
6.1%
i2253
 
6.1%
r2212
 
6.0%
t2009
 
5.4%
s1822
 
4.9%
l1428
 
3.8%
h1242
 
3.3%
Other values (56)14414
38.8%
Cyrillic
ValueCountFrequency (%)
о235
 
9.4%
е191
 
7.6%
а177
 
7.1%
и164
 
6.6%
к144
 
5.8%
н140
 
5.6%
т135
 
5.4%
р127
 
5.1%
с104
 
4.2%
д68
 
2.7%
Other values (49)1017
40.6%
Common
ValueCountFrequency (%)
5152
84.0%
:230
 
3.7%
'141
 
2.3%
099
 
1.6%
.77
 
1.3%
272
 
1.2%
!64
 
1.0%
,44
 
0.7%
333
 
0.5%
132
 
0.5%
Other values (19)190
 
3.1%
Greek
ValueCountFrequency (%)
ς24
14.3%
έ16
 
9.5%
ε16
 
9.5%
Χ8
 
4.8%
ν8
 
4.8%
Ε8
 
4.8%
γ8
 
4.8%
ώ8
 
4.8%
τ8
 
4.8%
α8
 
4.8%
Other values (7)56
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII43058
93.7%
Cyrillic2502
 
5.4%
None375
 
0.8%
Currency Symbols4
 
< 0.1%
Punctuation3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5152
 
12.0%
e4513
 
10.5%
o2511
 
5.8%
a2474
 
5.7%
n2260
 
5.2%
i2253
 
5.2%
r2212
 
5.1%
t2009
 
4.7%
s1822
 
4.2%
l1428
 
3.3%
Other values (69)16424
38.1%
Cyrillic
ValueCountFrequency (%)
о235
 
9.4%
е191
 
7.6%
а177
 
7.1%
и164
 
6.6%
к144
 
5.8%
н140
 
5.6%
т135
 
5.4%
р127
 
5.1%
с104
 
4.2%
д68
 
2.7%
Other values (49)1017
40.6%
None
ValueCountFrequency (%)
ø63
16.8%
é52
 
13.9%
å25
 
6.7%
ς24
 
6.4%
έ16
 
4.3%
ε16
 
4.3%
ı11
 
2.9%
ä10
 
2.7%
á9
 
2.4%
Ç8
 
2.1%
Other values (21)141
37.6%
Currency Symbols
ValueCountFrequency (%)
4
100.0%
Punctuation
ValueCountFrequency (%)
3
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Scripted
1515 
Animation
342 
Documentary
304 
Reality
247 
Talk Show
224 
Other values (6)
240 

Length

Max length11
Median length8
Mean length8.299442897
Min length4

Characters and Unicode

Total characters23836
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowReality
2nd rowScripted
3rd rowDocumentary
4th rowAnimation
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted1515
52.8%
Animation342
 
11.9%
Documentary304
 
10.6%
Reality247
 
8.6%
Talk Show224
 
7.8%
Sports71
 
2.5%
Variety63
 
2.2%
News56
 
1.9%
Game Show42
 
1.5%
Award Show6
 
0.2%

Length

2022-05-09T21:26:51.310113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
scripted1515
48.2%
animation342
 
10.9%
documentary304
 
9.7%
show274
 
8.7%
reality247
 
7.9%
talk224
 
7.1%
sports71
 
2.3%
variety63
 
2.0%
news56
 
1.8%
game42
 
1.3%
Other values (2)8
 
0.3%

Most occurring characters

ValueCountFrequency (%)
t2542
10.7%
i2509
10.5%
e2229
 
9.4%
r1959
 
8.2%
S1860
 
7.8%
c1819
 
7.6%
p1586
 
6.7%
d1521
 
6.4%
a1230
 
5.2%
o991
 
4.2%
Other values (18)5590
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20416
85.7%
Uppercase Letter3146
 
13.2%
Space Separator274
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t2542
12.5%
i2509
12.3%
e2229
10.9%
r1959
9.6%
c1819
8.9%
p1586
7.8%
d1521
7.5%
a1230
6.0%
o991
 
4.9%
n990
 
4.8%
Other values (8)3040
14.9%
Uppercase Letter
ValueCountFrequency (%)
S1860
59.1%
A348
 
11.1%
D304
 
9.7%
R247
 
7.9%
T224
 
7.1%
V63
 
2.0%
N56
 
1.8%
G42
 
1.3%
P2
 
0.1%
Space Separator
ValueCountFrequency (%)
274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23562
98.9%
Common274
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t2542
10.8%
i2509
10.6%
e2229
9.5%
r1959
 
8.3%
S1860
 
7.9%
c1819
 
7.7%
p1586
 
6.7%
d1521
 
6.5%
a1230
 
5.2%
o991
 
4.2%
Other values (17)5316
22.6%
Common
ValueCountFrequency (%)
274
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII23836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t2542
10.7%
i2509
10.5%
e2229
 
9.4%
r1959
 
8.2%
S1860
 
7.8%
c1819
 
7.6%
p1586
 
6.7%
d1521
 
6.4%
a1230
 
5.2%
o991
 
4.2%
Other values (18)5590
23.5%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct36
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
English
890 
Chinese
652 
Russian
238 
Norwegian
220 
Korean
158 
Other values (31)
714 

Length

Max length10
Median length7
Mean length6.94637883
Min length3

Characters and Unicode

Total characters19950
Distinct characters43
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowKorean
2nd rowRussian
3rd rowRussian
4th rowChinese
5th rowChinese

Common Values

ValueCountFrequency (%)
English890
31.0%
Chinese652
22.7%
Russian238
 
8.3%
Norwegian220
 
7.7%
Korean158
 
5.5%
Arabic66
 
2.3%
Hindi64
 
2.2%
Japanese60
 
2.1%
Spanish60
 
2.1%
Thai51
 
1.8%
Other values (26)413
14.4%

Length

2022-05-09T21:26:51.421745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english890
31.0%
chinese652
22.7%
russian238
 
8.3%
norwegian220
 
7.7%
korean158
 
5.5%
arabic66
 
2.3%
hindi64
 
2.2%
japanese60
 
2.1%
spanish60
 
2.1%
thai51
 
1.8%
Other values (26)413
14.4%

Most occurring characters

ValueCountFrequency (%)
n2586
13.0%
i2513
12.6%
s2284
11.4%
e2029
10.2%
h1829
9.2%
g1248
 
6.3%
a1223
 
6.1%
l986
 
4.9%
E890
 
4.5%
C652
 
3.3%
Other values (33)3710
18.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter17109
85.8%
Uppercase Letter2841
 
14.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n2586
15.1%
i2513
14.7%
s2284
13.3%
e2029
11.9%
h1829
10.7%
g1248
7.3%
a1223
7.1%
l986
 
5.8%
r603
 
3.5%
o475
 
2.8%
Other values (13)1333
7.8%
Uppercase Letter
ValueCountFrequency (%)
E890
31.3%
C652
22.9%
R242
 
8.5%
N220
 
7.7%
K162
 
5.7%
T127
 
4.5%
S91
 
3.2%
H73
 
2.6%
A66
 
2.3%
D65
 
2.3%
Other values (10)253
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Latin19950
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n2586
13.0%
i2513
12.6%
s2284
11.4%
e2029
10.2%
h1829
9.2%
g1248
 
6.3%
a1223
 
6.1%
l986
 
4.9%
E890
 
4.5%
C652
 
3.3%
Other values (33)3710
18.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII19950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n2586
13.0%
i2513
12.6%
s2284
11.4%
e2029
10.2%
h1829
9.2%
g1248
 
6.3%
a1223
 
6.1%
l986
 
4.9%
E890
 
4.5%
C652
 
3.3%
Other values (33)3710
18.6%

_embedded_show_genres
Categorical

HIGH CARDINALITY

Distinct151
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
[]
696 
['Comedy']
259 
['Drama', 'Romance']
258 
['Drama', 'Comedy', 'Romance']
 
84
['Drama']
 
81
Other values (146)
1494 

Length

Max length51
Median length43
Mean length17.42235376
Min length2

Characters and Unicode

Total characters50037
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.5%

Sample

1st row[]
2nd row['Comedy']
3rd row['Music']
4th row['Action', 'Anime', 'Science-Fiction']
5th row['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

ValueCountFrequency (%)
[]696
24.2%
['Comedy']259
 
9.0%
['Drama', 'Romance']258
 
9.0%
['Drama', 'Comedy', 'Romance']84
 
2.9%
['Drama']81
 
2.8%
['Drama', 'Romance', 'History']71
 
2.5%
['Drama', 'Comedy']63
 
2.2%
['Crime']61
 
2.1%
['Drama', 'Thriller', 'Mystery']50
 
1.7%
['Drama', 'Action', 'Crime']46
 
1.6%
Other values (141)1203
41.9%

Length

2022-05-09T21:26:51.553700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama1063
19.7%
comedy707
13.1%
696
12.9%
romance566
10.5%
crime274
 
5.1%
thriller213
 
4.0%
mystery212
 
3.9%
action205
 
3.8%
fantasy199
 
3.7%
adventure173
 
3.2%
Other values (17)1075
20.0%

Most occurring characters

ValueCountFrequency (%)
'9374
18.7%
a3398
 
6.8%
e2920
 
5.8%
r2899
 
5.8%
[2872
 
5.7%
]2872
 
5.7%
m2841
 
5.7%
2511
 
5.0%
,2511
 
5.0%
o1989
 
4.0%
Other values (28)15850
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter25016
50.0%
Other Punctuation11885
23.8%
Uppercase Letter4788
 
9.6%
Open Punctuation2872
 
5.7%
Close Punctuation2872
 
5.7%
Space Separator2511
 
5.0%
Dash Punctuation93
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a3398
13.6%
e2920
11.7%
r2899
11.6%
m2841
11.4%
o1989
8.0%
n1680
6.7%
i1618
6.5%
y1564
6.3%
t1169
 
4.7%
c1168
 
4.7%
Other values (8)3770
15.1%
Uppercase Letter
ValueCountFrequency (%)
C1146
23.9%
D1067
22.3%
R566
11.8%
A527
11.0%
F439
 
9.2%
M330
 
6.9%
T241
 
5.0%
S206
 
4.3%
H201
 
4.2%
W30
 
0.6%
Other values (4)35
 
0.7%
Other Punctuation
ValueCountFrequency (%)
'9374
78.9%
,2511
 
21.1%
Open Punctuation
ValueCountFrequency (%)
[2872
100.0%
Close Punctuation
ValueCountFrequency (%)
]2872
100.0%
Space Separator
ValueCountFrequency (%)
2511
100.0%
Dash Punctuation
ValueCountFrequency (%)
-93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin29804
59.6%
Common20233
40.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a3398
 
11.4%
e2920
 
9.8%
r2899
 
9.7%
m2841
 
9.5%
o1989
 
6.7%
n1680
 
5.6%
i1618
 
5.4%
y1564
 
5.2%
t1169
 
3.9%
c1168
 
3.9%
Other values (22)8558
28.7%
Common
ValueCountFrequency (%)
'9374
46.3%
[2872
 
14.2%
]2872
 
14.2%
2511
 
12.4%
,2511
 
12.4%
-93
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII50037
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'9374
18.7%
a3398
 
6.8%
e2920
 
5.8%
r2899
 
5.8%
[2872
 
5.7%
]2872
 
5.7%
m2841
 
5.7%
2511
 
5.0%
,2511
 
5.0%
o1989
 
4.0%
Other values (28)15850
31.7%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Running
1354 
Ended
1151 
To Be Determined
367 

Length

Max length16
Median length7
Mean length7.348537604
Min length5

Characters and Unicode

Total characters21105
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowEnded
3rd rowRunning
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Running1354
47.1%
Ended1151
40.1%
To Be Determined367
 
12.8%

Length

2022-05-09T21:26:51.663124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:26:51.778127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
running1354
37.5%
ended1151
31.9%
to367
 
10.2%
be367
 
10.2%
determined367
 
10.2%

Most occurring characters

ValueCountFrequency (%)
n5580
26.4%
d2669
12.6%
e2619
12.4%
i1721
 
8.2%
R1354
 
6.4%
u1354
 
6.4%
g1354
 
6.4%
E1151
 
5.5%
734
 
3.5%
T367
 
1.7%
Other values (6)2202
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter16765
79.4%
Uppercase Letter3606
 
17.1%
Space Separator734
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n5580
33.3%
d2669
15.9%
e2619
15.6%
i1721
 
10.3%
u1354
 
8.1%
g1354
 
8.1%
o367
 
2.2%
t367
 
2.2%
r367
 
2.2%
m367
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
R1354
37.5%
E1151
31.9%
T367
 
10.2%
B367
 
10.2%
D367
 
10.2%
Space Separator
ValueCountFrequency (%)
734
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin20371
96.5%
Common734
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n5580
27.4%
d2669
13.1%
e2619
12.9%
i1721
 
8.4%
R1354
 
6.6%
u1354
 
6.6%
g1354
 
6.6%
E1151
 
5.7%
T367
 
1.8%
o367
 
1.8%
Other values (5)1835
 
9.0%
Common
ValueCountFrequency (%)
734
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII21105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n5580
26.4%
d2669
12.6%
e2619
12.4%
i1721
 
8.2%
R1354
 
6.4%
u1354
 
6.4%
g1354
 
6.4%
E1151
 
5.5%
734
 
3.5%
T367
 
1.7%
Other values (6)2202
 
10.4%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct55
Distinct (%)2.8%
Missing880
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean38.13704819
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:51.914281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q120
median30
Q345
95-th percentile120
Maximum300
Range299
Interquartile range (IQR)25

Descriptive statistics

Standard deviation30.12278227
Coefficient of variation (CV)0.7898561557
Kurtosis16.57981774
Mean38.13704819
Median Absolute Deviation (MAD)15
Skewness3.03782089
Sum75969
Variance907.382012
MonotonicityNot monotonic
2022-05-09T21:26:52.082286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45474
16.5%
30182
 
6.3%
20175
 
6.1%
60140
 
4.9%
2585
 
3.0%
12083
 
2.9%
1581
 
2.8%
1071
 
2.5%
5062
 
2.2%
4054
 
1.9%
Other values (45)585
20.4%
(Missing)880
30.6%
ValueCountFrequency (%)
14
 
0.1%
210
 
0.3%
32
 
0.1%
418
 
0.6%
541
1.4%
65
 
0.2%
739
1.4%
829
1.0%
97
 
0.2%
1071
2.5%
ValueCountFrequency (%)
3004
 
0.1%
2403
 
0.1%
1809
 
0.3%
1304
 
0.1%
12083
2.9%
9028
 
1.0%
661
 
< 0.1%
625
 
0.2%
60140
4.9%
582
 
0.1%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct88
Distinct (%)3.2%
Missing158
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean36.94841562
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:52.329531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q118
median30
Q345
95-th percentile91
Maximum300
Range299
Interquartile range (IQR)27

Descriptive statistics

Standard deviation28.27453987
Coefficient of variation (CV)0.7652436348
Kurtosis15.62116496
Mean36.94841562
Median Absolute Deviation (MAD)15
Skewness2.793415014
Sum100278
Variance799.4496049
MonotonicityNot monotonic
2022-05-09T21:26:52.631480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45438
 
15.3%
30149
 
5.2%
60119
 
4.1%
20117
 
4.1%
25111
 
3.9%
5085
 
3.0%
1283
 
2.9%
1570
 
2.4%
12067
 
2.3%
1065
 
2.3%
Other values (78)1410
49.1%
(Missing)158
 
5.5%
ValueCountFrequency (%)
14
 
0.1%
215
 
0.5%
35
 
0.2%
420
 
0.7%
562
2.2%
615
 
0.5%
744
1.5%
840
1.4%
944
1.5%
1065
2.3%
ValueCountFrequency (%)
3004
 
0.1%
2113
 
0.1%
1931
 
< 0.1%
1902
 
0.1%
1883
 
0.1%
1814
 
0.1%
1801
 
< 0.1%
1304
 
0.1%
1292
 
0.1%
12067
2.3%

_embedded_show_premiered
Categorical

HIGH CARDINALITY

Distinct374
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
2020-12-04
 
83
2020-12-10
 
73
2020-12-14
 
64
2020-11-19
 
61
2020-11-23
 
60
Other values (369)
2531 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters28720
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)2.5%

Sample

1st row2019-03-25
2nd row2020-11-30
3rd row2019-12-17
4th row2020-10-13
5th row2020-03-08

Common Values

ValueCountFrequency (%)
2020-12-0483
 
2.9%
2020-12-1073
 
2.5%
2020-12-1464
 
2.2%
2020-11-1961
 
2.1%
2020-11-2360
 
2.1%
2020-12-1655
 
1.9%
2020-12-0154
 
1.9%
2020-12-0753
 
1.8%
2020-12-2152
 
1.8%
2020-12-1149
 
1.7%
Other values (364)2268
79.0%

Length

2022-05-09T21:26:52.780607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-0483
 
2.9%
2020-12-1073
 
2.5%
2020-12-1464
 
2.2%
2020-11-1961
 
2.1%
2020-11-2360
 
2.1%
2020-12-1655
 
1.9%
2020-12-0154
 
1.9%
2020-12-0753
 
1.8%
2020-12-2152
 
1.8%
2020-12-1149
 
1.7%
Other values (364)2268
79.0%

Most occurring characters

ValueCountFrequency (%)
07097
24.7%
27009
24.4%
-5744
20.0%
14984
17.4%
9838
 
2.9%
3650
 
2.3%
8599
 
2.1%
4575
 
2.0%
7488
 
1.7%
5371
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number22976
80.0%
Dash Punctuation5744
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
07097
30.9%
27009
30.5%
14984
21.7%
9838
 
3.6%
3650
 
2.8%
8599
 
2.6%
4575
 
2.5%
7488
 
2.1%
5371
 
1.6%
6365
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
-5744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common28720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
07097
24.7%
27009
24.4%
-5744
20.0%
14984
17.4%
9838
 
2.9%
3650
 
2.3%
8599
 
2.1%
4575
 
2.0%
7488
 
1.7%
5371
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII28720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
07097
24.7%
27009
24.4%
-5744
20.0%
14984
17.4%
9838
 
2.9%
3650
 
2.3%
8599
 
2.1%
4575
 
2.0%
7488
 
1.7%
5371
 
1.3%

_embedded_show_ended
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct96
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
1721 
2020-12-30
 
61
2020-12-18
 
56
2021-01-05
 
52
2020-12-11
 
51
Other values (91)
931 

Length

Max length10
Median length3
Mean length5.805362117
Min length3

Characters and Unicode

Total characters16673
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.5%

Sample

1st rownan
2nd row2020-12-11
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan1721
59.9%
2020-12-3061
 
2.1%
2020-12-1856
 
1.9%
2021-01-0552
 
1.8%
2020-12-1151
 
1.8%
2020-12-2449
 
1.7%
2020-12-1643
 
1.5%
2020-12-1538
 
1.3%
2020-12-2338
 
1.3%
2021-01-0738
 
1.3%
Other values (86)725
25.2%

Length

2022-05-09T21:26:52.889860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan1721
59.9%
2020-12-3061
 
2.1%
2020-12-1856
 
1.9%
2021-01-0552
 
1.8%
2020-12-1151
 
1.8%
2020-12-2449
 
1.7%
2020-12-1643
 
1.5%
2020-12-1538
 
1.3%
2020-12-2338
 
1.3%
2021-01-0738
 
1.3%
Other values (86)725
25.2%

Most occurring characters

ValueCountFrequency (%)
23498
21.0%
n3442
20.6%
02711
16.3%
-2302
13.8%
12040
12.2%
a1721
10.3%
3190
 
1.1%
4164
 
1.0%
5157
 
0.9%
8155
 
0.9%
Other values (3)293
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number9208
55.2%
Lowercase Letter5163
31.0%
Dash Punctuation2302
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23498
38.0%
02711
29.4%
12040
22.2%
3190
 
2.1%
4164
 
1.8%
5157
 
1.7%
8155
 
1.7%
7142
 
1.5%
698
 
1.1%
953
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
n3442
66.7%
a1721
33.3%
Dash Punctuation
ValueCountFrequency (%)
-2302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common11510
69.0%
Latin5163
31.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23498
30.4%
02711
23.6%
-2302
20.0%
12040
17.7%
3190
 
1.7%
4164
 
1.4%
5157
 
1.4%
8155
 
1.3%
7142
 
1.2%
698
 
0.9%
Latin
ValueCountFrequency (%)
n3442
66.7%
a1721
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII16673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23498
21.0%
n3442
20.6%
02711
16.3%
-2302
13.8%
12040
12.2%
a1721
10.3%
3190
 
1.1%
4164
 
1.0%
5157
 
0.9%
8155
 
0.9%
Other values (3)293
 
1.8%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY

Distinct529
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
370 
https://www.tytnetwork.com
 
38
https://www.discoveryplus.co.uk/show/90-day-extras
 
32
https://www.youtube.com/user/scishow/
 
31
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=
 
29
Other values (524)
2372 

Length

Max length250
Median length97
Mean length44.77019499
Min length3

Characters and Unicode

Total characters128580
Distinct characters77
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)3.6%

Sample

1st rowhttps://www.vlive.tv/video/121637
2nd rowhttp://epic-media.ru/project/kotiki
3rd rowhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
4th rowhttps://www.bilibili.com/bangumi/media/md28223064
5th rowhttps://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

ValueCountFrequency (%)
nan370
 
12.9%
https://www.tytnetwork.com38
 
1.3%
https://www.discoveryplus.co.uk/show/90-day-extras32
 
1.1%
https://www.youtube.com/user/scishow/31
 
1.1%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=29
 
1.0%
https://www.iqiyi.com/a_19rrhllpip.html28
 
1.0%
https://www.iqiyi.com/lib/m_213579814.html26
 
0.9%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html24
 
0.8%
https://www.iqiyi.com/a_c4m3iuc94t.html24
 
0.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef24
 
0.8%
Other values (519)2246
78.2%

Length

2022-05-09T21:26:53.061907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan370
 
12.9%
https://www.tytnetwork.com38
 
1.3%
https://www.discoveryplus.co.uk/show/90-day-extras32
 
1.1%
https://www.youtube.com/user/scishow31
 
1.1%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab29
 
1.0%
https://www.iqiyi.com/a_19rrhllpip.html28
 
1.0%
https://www.iqiyi.com/lib/m_213579814.html26
 
0.9%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef24
 
0.8%
https://tv.nrk.no/serie/stjernestoev24
 
0.8%
https://www.iqiyi.com/a_nvzsmw0tgx.html24
 
0.8%
Other values (518)2246
78.2%

Most occurring characters

ValueCountFrequency (%)
/10475
 
8.1%
t9806
 
7.6%
s6437
 
5.0%
e6266
 
4.9%
w5641
 
4.4%
o5503
 
4.3%
.5302
 
4.1%
h4724
 
3.7%
i4506
 
3.5%
a4233
 
3.3%
Other values (67)65687
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter84688
65.9%
Other Punctuation20438
 
15.9%
Decimal Number13007
 
10.1%
Uppercase Letter7146
 
5.6%
Dash Punctuation2028
 
1.6%
Math Symbol722
 
0.6%
Connector Punctuation551
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t9806
 
11.6%
s6437
 
7.6%
e6266
 
7.4%
w5641
 
6.7%
o5503
 
6.5%
h4724
 
5.6%
i4506
 
5.3%
a4233
 
5.0%
p4171
 
4.9%
m3807
 
4.5%
Other values (16)29594
34.9%
Uppercase Letter
ValueCountFrequency (%)
E600
 
8.4%
A557
 
7.8%
B495
 
6.9%
P440
 
6.2%
C420
 
5.9%
L350
 
4.9%
D345
 
4.8%
N298
 
4.2%
T271
 
3.8%
Y260
 
3.6%
Other values (16)3110
43.5%
Other Punctuation
ValueCountFrequency (%)
/10475
51.3%
.5302
25.9%
:2748
 
13.4%
%1282
 
6.3%
?370
 
1.8%
&202
 
1.0%
!20
 
0.1%
#20
 
0.1%
'10
 
< 0.1%
,9
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
01959
15.1%
11713
13.2%
81330
10.2%
21299
10.0%
91292
9.9%
41256
9.7%
31173
9.0%
51082
8.3%
6998
7.7%
7905
7.0%
Math Symbol
ValueCountFrequency (%)
=663
91.8%
+43
 
6.0%
~16
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
-2028
100.0%
Connector Punctuation
ValueCountFrequency (%)
_551
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin91834
71.4%
Common36746
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t9806
 
10.7%
s6437
 
7.0%
e6266
 
6.8%
w5641
 
6.1%
o5503
 
6.0%
h4724
 
5.1%
i4506
 
4.9%
a4233
 
4.6%
p4171
 
4.5%
m3807
 
4.1%
Other values (42)36740
40.0%
Common
ValueCountFrequency (%)
/10475
28.5%
.5302
14.4%
:2748
 
7.5%
-2028
 
5.5%
01959
 
5.3%
11713
 
4.7%
81330
 
3.6%
21299
 
3.5%
91292
 
3.5%
%1282
 
3.5%
Other values (15)7318
19.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII128580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/10475
 
8.1%
t9806
 
7.6%
s6437
 
5.0%
e6266
 
4.9%
w5641
 
4.4%
o5503
 
4.3%
.5302
 
4.1%
h4724
 
3.7%
i4506
 
3.5%
a4233
 
3.3%
Other values (67)65687
51.1%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct98
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.52332869
Minimum0
Maximum100
Zeros26
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:53.220872image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median28
Q356
95-th percentile91
Maximum100
Range100
Interquartile range (IQR)41

Descriptive statistics

Standard deviation27.71358234
Coefficient of variation (CV)0.758791253
Kurtosis-0.6665343253
Mean36.52332869
Median Absolute Deviation (MAD)15
Skewness0.7253158277
Sum104895
Variance768.0426461
MonotonicityNot monotonic
2022-05-09T21:26:53.369925image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18200
 
7.0%
15124
 
4.3%
3114
 
4.0%
2590
 
3.1%
888
 
3.1%
2879
 
2.8%
673
 
2.5%
1770
 
2.4%
2968
 
2.4%
2463
 
2.2%
Other values (88)1903
66.3%
ValueCountFrequency (%)
026
 
0.9%
149
1.7%
240
 
1.4%
3114
4.0%
48
 
0.3%
517
 
0.6%
673
2.5%
734
 
1.2%
888
3.1%
98
 
0.3%
ValueCountFrequency (%)
10013
 
0.5%
9915
 
0.5%
9810
 
0.3%
9713
 
0.5%
969
 
0.3%
959
 
0.3%
948
 
0.3%
9341
1.4%
9222
0.8%
9116
 
0.6%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
2848 
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}
 
10
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}
 
8
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}
 
4
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}
 
2

Length

Max length74
Median length3
Mean length3.530640669
Min length3

Characters and Unicode

Total characters10140
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan2848
99.2%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}10
 
0.3%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}8
 
0.3%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}4
 
0.1%
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}2
 
0.1%

Length

2022-05-09T21:26:53.529115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:26:53.663187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan2848
94.6%
name24
 
0.8%
code24
 
0.8%
timezone24
 
0.8%
ukraine10
 
0.3%
ua10
 
0.3%
europe/zaporozhye10
 
0.3%
asia/seoul8
 
0.3%
kr8
 
0.3%
of8
 
0.3%
Other values (9)36
 
1.2%

Most occurring characters

ValueCountFrequency (%)
n5762
56.8%
a2932
28.9%
'288
 
2.8%
e154
 
1.5%
138
 
1.4%
o112
 
1.1%
:72
 
0.7%
i60
 
0.6%
,56
 
0.6%
m50
 
0.5%
Other values (28)516
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter9384
92.5%
Other Punctuation440
 
4.3%
Space Separator138
 
1.4%
Uppercase Letter130
 
1.3%
Open Punctuation24
 
0.2%
Close Punctuation24
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n5762
61.4%
a2932
31.2%
e154
 
1.6%
o112
 
1.2%
i60
 
0.6%
m50
 
0.5%
r40
 
0.4%
c34
 
0.4%
z34
 
0.4%
p32
 
0.3%
Other values (10)174
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A24
18.5%
U22
16.9%
R20
15.4%
K18
13.8%
E10
7.7%
Z10
7.7%
S8
 
6.2%
J8
 
6.2%
P4
 
3.1%
T4
 
3.1%
Other Punctuation
ValueCountFrequency (%)
'288
65.5%
:72
 
16.4%
,56
 
12.7%
/24
 
5.5%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
{24
100.0%
Close Punctuation
ValueCountFrequency (%)
}24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9514
93.8%
Common626
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n5762
60.6%
a2932
30.8%
e154
 
1.6%
o112
 
1.2%
i60
 
0.6%
m50
 
0.5%
r40
 
0.4%
c34
 
0.4%
z34
 
0.4%
p32
 
0.3%
Other values (21)304
 
3.2%
Common
ValueCountFrequency (%)
'288
46.0%
138
22.0%
:72
 
11.5%
,56
 
8.9%
{24
 
3.8%
/24
 
3.8%
}24
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII10140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n5762
56.8%
a2932
28.9%
'288
 
2.8%
e154
 
1.5%
138
 
1.4%
o112
 
1.1%
:72
 
0.7%
i60
 
0.6%
,56
 
0.6%
m50
 
0.5%
Other values (28)516
 
5.1%

_embedded_show_summary
Categorical

HIGH CARDINALITY

Distinct512
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
nan
300 
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>
 
38
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>
 
32
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>
 
31
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>
 
29
Other values (507)
2442 

Length

Max length1360
Median length640
Mean length325.7513928
Min length3

Characters and Unicode

Total characters935558
Distinct characters160
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)3.3%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd rownan
3rd row<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
4th row<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
5th row<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>

Common Values

ValueCountFrequency (%)
nan300
 
10.4%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>38
 
1.3%
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>32
 
1.1%
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>31
 
1.1%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>29
 
1.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>28
 
1.0%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>26
 
0.9%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>26
 
0.9%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>24
 
0.8%
<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>24
 
0.8%
Other values (502)2314
80.6%

Length

2022-05-09T21:26:53.833874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the8774
 
5.6%
and5640
 
3.6%
a4719
 
3.0%
of4499
 
2.9%
to4141
 
2.7%
in2971
 
1.9%
is1749
 
1.1%
with1577
 
1.0%
his1283
 
0.8%
that1146
 
0.7%
Other values (7182)119747
76.6%

Most occurring characters

ValueCountFrequency (%)
153064
16.4%
e87696
 
9.4%
t59036
 
6.3%
a58245
 
6.2%
n54494
 
5.8%
o54119
 
5.8%
i51409
 
5.5%
s46622
 
5.0%
r44815
 
4.8%
h37313
 
4.0%
Other values (150)288745
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter708956
75.8%
Space Separator153433
 
16.4%
Uppercase Letter27501
 
2.9%
Other Punctuation24852
 
2.7%
Math Symbol15944
 
1.7%
Dash Punctuation2076
 
0.2%
Decimal Number1942
 
0.2%
Format250
 
< 0.1%
Open Punctuation243
 
< 0.1%
Close Punctuation243
 
< 0.1%
Other values (5)118
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e87696
12.4%
t59036
 
8.3%
a58245
 
8.2%
n54494
 
7.7%
o54119
 
7.6%
i51409
 
7.3%
s46622
 
6.6%
r44815
 
6.3%
h37313
 
5.3%
l28626
 
4.0%
Other values (66)186581
26.3%
Uppercase Letter
ValueCountFrequency (%)
T2763
 
10.0%
S2690
 
9.8%
A1933
 
7.0%
W1474
 
5.4%
C1383
 
5.0%
L1331
 
4.8%
H1318
 
4.8%
M1306
 
4.7%
Y1194
 
4.3%
I1032
 
3.8%
Other values (24)11077
40.3%
Other Punctuation
ValueCountFrequency (%)
,8954
36.0%
.7519
30.3%
/4170
16.8%
'1900
 
7.6%
"893
 
3.6%
!495
 
2.0%
:360
 
1.4%
?302
 
1.2%
;126
 
0.5%
&54
 
0.2%
Other values (4)79
 
0.3%
Decimal Number
ValueCountFrequency (%)
0543
28.0%
1390
20.1%
2331
17.0%
9209
 
10.8%
3102
 
5.3%
597
 
5.0%
886
 
4.4%
476
 
3.9%
775
 
3.9%
633
 
1.7%
Other Letter
ValueCountFrequency (%)
6
12.5%
6
12.5%
6
12.5%
6
12.5%
6
12.5%
6
12.5%
6
12.5%
6
12.5%
Math Symbol
ValueCountFrequency (%)
<7971
50.0%
>7971
50.0%
+2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
-1752
84.4%
267
 
12.9%
57
 
2.7%
Space Separator
ValueCountFrequency (%)
153064
99.8%
 369
 
0.2%
Open Punctuation
ValueCountFrequency (%)
(237
97.5%
[6
 
2.5%
Close Punctuation
ValueCountFrequency (%)
)237
97.5%
]6
 
2.5%
Currency Symbol
ValueCountFrequency (%)
$27
87.1%
4
 
12.9%
Format
ValueCountFrequency (%)
250
100.0%
Initial Punctuation
ValueCountFrequency (%)
27
100.0%
Modifier Letter
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin735617
78.6%
Common199053
 
21.3%
Cyrillic840
 
0.1%
Han24
 
< 0.1%
Katakana24
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e87696
11.9%
t59036
 
8.0%
a58245
 
7.9%
n54494
 
7.4%
o54119
 
7.4%
i51409
 
7.0%
s46622
 
6.3%
r44815
 
6.1%
h37313
 
5.1%
l28626
 
3.9%
Other values (65)213242
29.0%
Common
ValueCountFrequency (%)
153064
76.9%
,8954
 
4.5%
<7971
 
4.0%
>7971
 
4.0%
.7519
 
3.8%
/4170
 
2.1%
'1900
 
1.0%
-1752
 
0.9%
"893
 
0.4%
0543
 
0.3%
Other values (32)4316
 
2.2%
Cyrillic
ValueCountFrequency (%)
е81
 
9.6%
т79
 
9.4%
и76
 
9.0%
о73
 
8.7%
а58
 
6.9%
с55
 
6.5%
н48
 
5.7%
м48
 
5.7%
к33
 
3.9%
у32
 
3.8%
Other values (25)257
30.6%
Han
ValueCountFrequency (%)
6
25.0%
6
25.0%
6
25.0%
6
25.0%
Katakana
ValueCountFrequency (%)
6
25.0%
6
25.0%
6
25.0%
6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII933408
99.8%
Cyrillic840
 
0.1%
Punctuation639
 
0.1%
None607
 
0.1%
Katakana30
 
< 0.1%
CJK24
 
< 0.1%
Dingbats6
 
< 0.1%
Currency Symbols4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153064
16.4%
e87696
 
9.4%
t59036
 
6.3%
a58245
 
6.2%
n54494
 
5.8%
o54119
 
5.8%
i51409
 
5.5%
s46622
 
5.0%
r44815
 
4.8%
h37313
 
4.0%
Other values (75)286595
30.7%
None
ValueCountFrequency (%)
 369
60.8%
é46
 
7.6%
å24
 
4.0%
ä22
 
3.6%
ø20
 
3.3%
ö15
 
2.5%
Í12
 
2.0%
ü12
 
2.0%
ā11
 
1.8%
č10
 
1.6%
Other values (14)66
 
10.9%
Punctuation
ValueCountFrequency (%)
267
41.8%
250
39.1%
57
 
8.9%
38
 
5.9%
27
 
4.2%
Cyrillic
ValueCountFrequency (%)
е81
 
9.6%
т79
 
9.4%
и76
 
9.0%
о73
 
8.7%
а58
 
6.9%
с55
 
6.5%
н48
 
5.7%
м48
 
5.7%
к33
 
3.9%
у32
 
3.8%
Other values (25)257
30.6%
Katakana
ValueCountFrequency (%)
6
20.0%
6
20.0%
6
20.0%
6
20.0%
6
20.0%
CJK
ValueCountFrequency (%)
6
25.0%
6
25.0%
6
25.0%
6
25.0%
Dingbats
ValueCountFrequency (%)
6
100.0%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct584
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1632409491
Minimum1602172227
Maximum1652133529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2022-05-09T21:26:53.982714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1602172227
5-th percentile1608501764
Q11613198508
median1639031907
Q31648309597
95-th percentile1651838647
Maximum1652133529
Range49961302
Interquartile range (IQR)35111089.5

Descriptive statistics

Standard deviation16657513.12
Coefficient of variation (CV)0.01020424913
Kurtosis-1.579898209
Mean1632409491
Median Absolute Deviation (MAD)12217465
Skewness-0.2936496389
Sum4.688280057 × 1012
Variance2.774727432 × 1014
MonotonicityNot monotonic
2022-05-09T21:26:54.141337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164819005838
 
1.3%
164011241532
 
1.1%
164476200531
 
1.1%
160953514129
 
1.0%
160979989628
 
1.0%
164821702926
 
0.9%
161963349926
 
0.9%
161143684224
 
0.8%
160911820124
 
0.8%
164917808424
 
0.8%
Other values (574)2590
90.2%
ValueCountFrequency (%)
16021722272
 
0.1%
16034670374
 
0.1%
16045871195
 
0.2%
16045871454
 
0.1%
160641816415
0.5%
16071040924
 
0.1%
16071675852
 
0.1%
16071805013
 
0.1%
16072788878
0.3%
16073820732
 
0.1%
ValueCountFrequency (%)
16521335292
 
0.1%
16521265073
 
0.1%
16521174872
 
0.1%
16521174601
 
< 0.1%
16520979201
 
< 0.1%
165208063621
0.7%
16520679315
 
0.2%
16520392983
 
0.1%
16520354303
 
0.1%
16520294144
 
0.1%

_links_self_href
Categorical

HIGH CARDINALITY

Distinct131
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
https://api.tvmaze.com/episodes/1977902
 
31
https://api.tvmaze.com/episodes/2005761
 
31
https://api.tvmaze.com/episodes/2013871
 
31
https://api.tvmaze.com/episodes/2065447
 
31
https://api.tvmaze.com/episodes/2090654
 
31
Other values (126)
2717 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters112008
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/197790231
 
1.1%
https://api.tvmaze.com/episodes/200576131
 
1.1%
https://api.tvmaze.com/episodes/201387131
 
1.1%
https://api.tvmaze.com/episodes/206544731
 
1.1%
https://api.tvmaze.com/episodes/209065431
 
1.1%
https://api.tvmaze.com/episodes/209065531
 
1.1%
https://api.tvmaze.com/episodes/216920331
 
1.1%
https://api.tvmaze.com/episodes/231222331
 
1.1%
https://api.tvmaze.com/episodes/231222431
 
1.1%
https://api.tvmaze.com/episodes/231222531
 
1.1%
Other values (121)2562
89.2%

Length

2022-05-09T21:26:54.292990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/197790231
 
1.1%
https://api.tvmaze.com/episodes/231222631
 
1.1%
https://api.tvmaze.com/episodes/232443231
 
1.1%
https://api.tvmaze.com/episodes/199540531
 
1.1%
https://api.tvmaze.com/episodes/200776031
 
1.1%
https://api.tvmaze.com/episodes/198578931
 
1.1%
https://api.tvmaze.com/episodes/203962231
 
1.1%
https://api.tvmaze.com/episodes/203962331
 
1.1%
https://api.tvmaze.com/episodes/232442731
 
1.1%
https://api.tvmaze.com/episodes/232442831
 
1.1%
Other values (121)2562
89.2%

Most occurring characters

ValueCountFrequency (%)
/11488
 
10.3%
p8616
 
7.7%
s8616
 
7.7%
e8616
 
7.7%
t8616
 
7.7%
o5744
 
5.1%
a5744
 
5.1%
i5744
 
5.1%
.5744
 
5.1%
m5744
 
5.1%
Other values (16)37336
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter71800
64.1%
Other Punctuation20104
 
17.9%
Decimal Number20104
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p8616
12.0%
s8616
12.0%
e8616
12.0%
t8616
12.0%
o5744
8.0%
a5744
8.0%
i5744
8.0%
m5744
8.0%
h2872
 
4.0%
d2872
 
4.0%
Other values (3)8616
12.0%
Decimal Number
ValueCountFrequency (%)
23244
16.1%
93203
15.9%
12536
12.6%
02356
11.7%
31755
8.7%
81615
8.0%
61524
7.6%
41361
6.8%
71325
6.6%
51185
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/11488
57.1%
.5744
28.6%
:2872
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin71800
64.1%
Common40208
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/11488
28.6%
.5744
14.3%
23244
 
8.1%
93203
 
8.0%
:2872
 
7.1%
12536
 
6.3%
02356
 
5.9%
31755
 
4.4%
81615
 
4.0%
61524
 
3.8%
Other values (3)3871
 
9.6%
Latin
ValueCountFrequency (%)
p8616
12.0%
s8616
12.0%
e8616
12.0%
t8616
12.0%
o5744
8.0%
a5744
8.0%
i5744
8.0%
m5744
8.0%
h2872
 
4.0%
d2872
 
4.0%
Other values (3)8616
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII112008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/11488
 
10.3%
p8616
 
7.7%
s8616
 
7.7%
e8616
 
7.7%
t8616
 
7.7%
o5744
 
5.1%
a5744
 
5.1%
i5744
 
5.1%
.5744
 
5.1%
m5744
 
5.1%
Other values (16)37336
33.3%

_embedded_show_webChannel
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct36
Distinct (%)34.6%
Missing2768
Missing (%)96.4%
Memory size22.6 KiB
{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}
16 
{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}
{'id': 238, 'name': 'NRK TV', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
 
6
{'id': 118, 'name': 'Youku', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}
 
6
Other values (31)
61 

Length

Max length163
Median length142
Mean length114.3365385
Min length67

Characters and Unicode

Total characters11891
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)13.5%

Sample

1st row{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}
2nd row{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
3rd row{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
4th row{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
5th row{'id': 160, 'name': 'NJPW World', 'country': {'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}, 'officialSite': None}

Common Values

ValueCountFrequency (%)
{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}16
 
0.6%
{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}8
 
0.3%
{'id': 238, 'name': 'NRK TV', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}7
 
0.2%
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}6
 
0.2%
{'id': 118, 'name': 'Youku', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}6
 
0.2%
{'id': 327, 'name': 'TV 2 Play', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}6
 
0.2%
{'id': 377, 'name': 'ATRESplayer PREMIUM', 'country': {'name': 'Spain', 'code': 'ES', 'timezone': 'Europe/Madrid'}, 'officialSite': None}4
 
0.1%
{'id': 226, 'name': 'Mango TV', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://w.mgtv.com/'}4
 
0.1%
{'id': 71, 'name': 'BBC Three', 'country': {'name': 'United Kingdom', 'code': 'GB', 'timezone': 'Europe/London'}, 'officialSite': 'https://www.bbc.co.uk/bbcthree'}4
 
0.1%
{'id': 379, 'name': 'Shahid', 'country': None, 'officialSite': None}4
 
0.1%
Other values (26)39
 
1.4%
(Missing)2768
96.4%

Length

2022-05-09T21:26:54.401806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
name166
 
13.5%
id104
 
8.5%
country104
 
8.5%
officialsite104
 
8.5%
none103
 
8.4%
timezone62
 
5.0%
code62
 
5.0%
tv21
 
1.7%
china19
 
1.5%
asia/shanghai18
 
1.5%
Other values (134)467
38.0%

Most occurring characters

ValueCountFrequency (%)
'1870
15.7%
1126
 
9.5%
e743
 
6.2%
o657
 
5.5%
:645
 
5.4%
i638
 
5.4%
n542
 
4.6%
a476
 
4.0%
t456
 
3.8%
,441
 
3.7%
Other values (60)4297
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6051
50.9%
Other Punctuation3217
27.1%
Space Separator1126
 
9.5%
Uppercase Letter864
 
7.3%
Decimal Number283
 
2.4%
Open Punctuation166
 
1.4%
Close Punctuation166
 
1.4%
Connector Punctuation12
 
0.1%
Math Symbol6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e743
12.3%
o657
10.9%
i638
10.5%
n542
 
9.0%
a476
 
7.9%
t456
 
7.5%
c362
 
6.0%
m299
 
4.9%
u228
 
3.8%
d222
 
3.7%
Other values (15)1428
23.6%
Uppercase Letter
ValueCountFrequency (%)
N184
21.3%
S176
20.4%
T61
 
7.1%
A48
 
5.6%
C44
 
5.1%
O38
 
4.4%
E38
 
4.4%
Y36
 
4.2%
U34
 
3.9%
R29
 
3.4%
Other values (15)176
20.4%
Decimal Number
ValueCountFrequency (%)
160
21.2%
357
20.1%
256
19.8%
728
9.9%
023
 
8.1%
817
 
6.0%
415
 
5.3%
610
 
3.5%
99
 
3.2%
58
 
2.8%
Other Punctuation
ValueCountFrequency (%)
'1870
58.1%
:645
 
20.0%
,441
 
13.7%
/173
 
5.4%
.88
 
2.7%
Space Separator
ValueCountFrequency (%)
1126
100.0%
Open Punctuation
ValueCountFrequency (%)
{166
100.0%
Close Punctuation
ValueCountFrequency (%)
}166
100.0%
Connector Punctuation
ValueCountFrequency (%)
_12
100.0%
Math Symbol
ValueCountFrequency (%)
+6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6915
58.2%
Common4976
41.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e743
 
10.7%
o657
 
9.5%
i638
 
9.2%
n542
 
7.8%
a476
 
6.9%
t456
 
6.6%
c362
 
5.2%
m299
 
4.3%
u228
 
3.3%
d222
 
3.2%
Other values (40)2292
33.1%
Common
ValueCountFrequency (%)
'1870
37.6%
1126
22.6%
:645
 
13.0%
,441
 
8.9%
/173
 
3.5%
{166
 
3.3%
}166
 
3.3%
.88
 
1.8%
160
 
1.2%
357
 
1.1%
Other values (10)184
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII11891
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'1870
15.7%
1126
 
9.5%
e743
 
6.2%
o657
 
5.5%
:645
 
5.4%
i638
 
5.4%
n542
 
4.6%
a476
 
4.0%
t456
 
3.8%
,441
 
3.7%
Other values (60)4297
36.1%

Interactions

2022-05-09T21:26:39.355733image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:02.671004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:29.901037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:37.726251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:45.222461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:52.923388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:16.055464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:21.724971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:29.227704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:41.890993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:07.978498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:32.403281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:40.180281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:47.616064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:57.305807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:17.928123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:24.313343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:31.864330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:42.025275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:10.788489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:32.536284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:40.300699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:47.768995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:59.363333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:18.044746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:24.444384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:31.988447image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:42.134274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:13.316055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:32.651503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:40.419116image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:47.885314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:01.145479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:18.165058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:24.561753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:32.113420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:42.265123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:15.364805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:32.784497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:40.532599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:48.009077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:03.000774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:18.298742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:24.697818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:32.234687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:46.571352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:21.714316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:37.231018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:44.749610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:52.249687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:09.107069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:21.198474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:28.731432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:38.888222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:46.706836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:23.388022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:37.357461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:44.861775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:52.546063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:10.384474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:21.321872image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:28.832794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:39.000567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:46.818676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:25.404143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:37.482244image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:44.978910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:52.670114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:12.133079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:21.459042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:28.960266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:39.117604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:46.926264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:27.602913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:37.594837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:45.105573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:25:52.798331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:14.164146image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:21.581459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:29.082944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:26:39.228852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:26:54.529631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:26:54.698529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:26:54.863871image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:26:55.146666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:26:55.329010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:26:47.356934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:26:48.114130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:26:48.348562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:26:48.491378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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01979824https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16Chanyeol's Episode 164.016.0regular2020-12-0106:002020-11-30T21:00:00+00:0016.0None<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>41648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25nanhttps://www.vlive.tv/video/12163771.0nan<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1.608499e+09https://api.tvmaze.com/episodes/1977902None
11979222https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2Серия 21.02.0regular2020-12-01nan2020-12-01T00:00:00+00:0012.0Nonenan52198https://www.tvmaze.com/shows/52198/kotikiКотикиScriptedRussian['Comedy']Ended12.012.02020-11-302020-12-11http://epic-media.ru/project/kotiki15.0nannan1.637555e+09https://api.tvmaze.com/episodes/2015818None
22008027https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolitaЛолита2.06.0regular2020-12-01nan2020-12-01T00:00:00+00:0029.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}nan52933https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevymLAB с Антоном БеляевымDocumentaryRussian['Music']Running26.025.02019-12-17nanhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c32615.0nan<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>1.641808e+09https://api.tvmaze.com/episodes/1964000None
31964565https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9Episode 91.09.0regular2020-12-0110:002020-12-01T02:00:00+00:0024.0Nonenan51336https://www.tvmaze.com/shows/51336/core-senseCore SenseAnimationChinese['Action', 'Anime', 'Science-Fiction']Running24.024.02020-10-13nanhttps://www.bilibili.com/bangumi/media/md2822306437.0nan<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>1.604587e+09https://api.tvmaze.com/episodes/1995405None
42052503https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80Episode 801.080.0regular2020-12-0110:002020-12-01T02:00:00+00:008.0Nonenan54033https://www.tvmaze.com/shows/54033/wu-shen-zhu-zaiWu Shen Zhu ZaiAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running8.08.02020-03-08nanhttps://v.qq.com/detail/m/7q544xyrava3vxf.html76.0nan<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1.649423e+09https://api.tvmaze.com/episodes/2007760None
52315116https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5Episode 51.05.0regular2020-12-01nan2020-12-01T03:00:00+00:0015.0Nonenan61674https://www.tvmaze.com/shows/61674/sono-koi-mousukoshi-atatamemasukaSono koi Mousukoshi AtatamemasukaScriptedJapanese['Romance']Ended15.015.02020-10-202020-12-22https://www.paravi.jp/static/koisuko6.0nan<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>1.650915e+09https://api.tvmaze.com/episodes/1985789None
61973538https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-17Episode 171.017.0regular2020-12-0112:002020-12-01T04:00:00+00:0037.0Nonenan52038https://www.tvmaze.com/shows/52038/please-wait-brotherPlease Wait, BrotherScriptedChinese['Comedy']Ended37.037.02020-11-172020-12-08nan14.0nannan1.607698e+09https://api.tvmaze.com/episodes/2039622None
71973539https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18Episode 181.018.0regular2020-12-0112:002020-12-01T04:00:00+00:0037.0Nonenan52038https://www.tvmaze.com/shows/52038/please-wait-brotherPlease Wait, BrotherScriptedChinese['Comedy']Ended37.037.02020-11-172020-12-08nan14.0nannan1.607698e+09https://api.tvmaze.com/episodes/2039623None
81984264https://www.tvmaze.com/episodes/1984264/fearless-whispers-1x51-episode-51Episode 511.051.0regular2020-12-01nan2020-12-01T04:00:00+00:0060.0Nonenan52373https://www.tvmaze.com/shows/52373/fearless-whispersFearless WhispersScriptedChinese['Drama', 'Romance', 'History']Ended60.060.02020-11-062020-12-01nan15.0nan<p>A story revolving around a fresh graduate who holds an idealistic view of what's right and wrong, yet realizes that the very institution he chose to serve falls heavily onto a gray area caught in the struggles during chaotic times.</p>1.607717e+09https://api.tvmaze.com/episodes/2324427None
92082171https://www.tvmaze.com/episodes/2082171/ling-jian-zun-4x28-di128ji第128集4.028.0regular2020-12-01nan2020-12-01T04:00:00+00:0010.0Nonenan55016https://www.tvmaze.com/shows/55016/ling-jian-zunLing Jian ZunAnimationChinese['Anime']Running10.010.02019-01-15nanhttps://v.qq.com/x/cover/2w2legt0g8z26al.html45.0nan<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>1.640703e+09https://api.tvmaze.com/episodes/2324428None

Last rows

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28622234297https://www.tvmaze.com/episodes/2234297/forteresses-assiegees-batailles-de-legende-1x03-the-siege-of-orleans-joans-fortressThe Siege of Orléans, Joan's Fortress1.03.0regular2020-12-31nan2020-12-31T17:00:00+00:0051.0None<p>It is the most striking event in the Hundred Year War. Between 1428 and 1429, Orleans was subject to a violent and pitiless siege. Hidden away in the extraordinary walled enclosure, for 7 months, the French resisted an English army that was bent on conquering this strategic city on the Loire River.</p>59380https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legendeForteresses assiégées, batailles de légendeDocumentaryFrench[]Running51.052.02020-12-31nanhttps://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende1.0nan<p>Built at strategic points, and fitted with impressive fortifications and ingenious systems to counter attacks, fortresses are thought to be impenetrable. And yet, certain skillful warlords have successfully stormed them. How did they manage this?</p><p>By recounting how some of the most remarkable sieges - in ancient times or in medieval history - played out, this series revisits the construction of these megastructures and reveals the different strategies used to lay or to endure a siege. Thanks to CGI, dramatized scenes, and with the help of key experts, it immerses us in the compelling confrontation between the construction genius of the military strategists and the ingenuity of some exceptional warriors.</p>1.639071e+09https://api.tvmaze.com/episodes/2234297None
28632236494https://www.tvmaze.com/episodes/2236494/notruf-hafenkante-15x13-nur-ein-atemzugNur ein Atemzug15.013.0regular2020-12-3119:252020-12-31T18:25:00+00:0045.0Nonenan17046https://www.tvmaze.com/shows/17046/notruf-hafenkanteNotruf HafenkanteScriptedGerman['Drama', 'Crime']Running45.050.02007-01-04nanhttps://www.zdf.de/serien/notruf-hafenkante4.0nannan1.645352e+09https://api.tvmaze.com/episodes/2236494None
28641977423https://www.tvmaze.com/episodes/1977423/goede-tijden-slechte-tijden-31x72-aflevering-6327Aflevering 632731.072.0regular2020-12-3120:002020-12-31T19:00:00+00:0023.0Nonenan2504https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijdenGoede Tijden, Slechte TijdenScriptedDutch['Drama', 'Romance']Running23.025.01990-10-01nanhttp://gtst.nl/#!/77.0nannan1.651839e+09https://api.tvmaze.com/episodes/1977423None
28651976649https://www.tvmaze.com/episodes/1976649/wwe-nxt-uk-2020-12-31-episode-53Episode 532020.053.0regular2020-12-3115:002020-12-31T20:00:00+00:0060.0Nonenan39053https://www.tvmaze.com/shows/39053/wwe-nxt-ukWWE NXT UKSportsEnglish[]Running60.060.02018-10-17nannan84.0nan<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>1.652005e+09https://api.tvmaze.com/episodes/1976649None
28662005096https://www.tvmaze.com/episodes/2005096/carl-webers-the-family-business-2x07-take-no-prisonersTake No Prisoners2.07.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>Brother X has missed on his attempt to kill LC and Chippy. However things are far from over now that he unknowingly has captured a Duncan.</p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005096None
28672005098https://www.tvmaze.com/episodes/2005098/carl-webers-the-family-business-2x08-the-nuclear-optionThe Nuclear Option2.08.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>The war heats up as the Duncans deploy the nuclear option, shutting down HEAT and recruiting allies. Paris finally takes responsibility for her actions.</p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005098None
28682005099https://www.tvmaze.com/episodes/2005099/carl-webers-the-family-business-2x09-mothers-and-their-sonsMothers and Their Sons2.09.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>Junior and Sonya make landfall in Cuba. Chippy and Nevada take a trip. Consuela seeks protection from her husband Alejandro. Who is Sage?</p><p> </p><p><br /> </p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005099None
28692005100https://www.tvmaze.com/episodes/2005100/carl-webers-the-family-business-2x10-i-dont-want-to-lose-my-queenI Don't Want to Lose My Queen2.010.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>Brother X begins to unravel. Sasha and Elijah play an enlightening game of chess. What does Billionaire Alexander Cora want?</p><p> </p><p><br /> </p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005100None
28702005101https://www.tvmaze.com/episodes/2005101/carl-webers-the-family-business-2x11-deploy-the-dronesDeploy the Drones2.011.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>The war between the Duncans and Brother X is finally coming to a conclusion and the Duncans are back to business as usual.</p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005101None
28712005102https://www.tvmaze.com/episodes/2005102/carl-webers-the-family-business-2x12-the-hunt-for-brother-xThe Hunt for Brother X2.012.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0None<p>LC must decide Elijah's fate as his sons hunt down a deranged Brother X. Meanwhile Billionaire Alexander Cora plots against the unsuspecting Duncans to takeover HEAT.</p>39441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish['Drama', 'Crime', 'Thriller']Running60.060.02018-11-13nanhttps://www.bet.plus/shows/the-family-business93.0nan<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1.638412e+09https://api.tvmaze.com/episodes/2005102None